In Machine Learning, the concept of model evaluation means determining the performance of a Machine Learning model. To evaluate the performance of a Machine Learning model, we need to use model evaluation metrics. So, if you want to learn classification…
In Machine Learning, we use data and algorithms to build intelligent systems. There are a lot of free resources on the internet you can follow to learn Machine Learning. But some people like to learn from courses to learn everything…
Social Media applications are those applications where you get a collection of features based on communication, interaction, content creation, and collaboration. Facebook, Instagram, Youtube, and Twitter are some of the popular social media applications today. Every social media application uses Data…
Merging two sorted lists is one of the popular problems in Leetcode. It is asked in coding interviews by companies like FAANG many times. Here you need to return a sorted list by merging two sorted lists. So, if you…
Spam comments detection means classifying comments as spam or not spam. YouTube is one of the platforms that uses Machine Learning to filter spam comments automatically to save its creators from spam comments. If you want to learn how to…
Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. Data Analysis is so popular that you can learn everything about it without spending any money. But some people like to…
E-commerce is nothing but the buying and selling of goods and services over the internet. Amazon is one of the most popular e-commerce platforms in the world. So, if you want to know how E-commerce platforms use Data Science, this…
Longest Common Prefix is one of the popular problems in Leetcode. It is asked in coding interviews by companies like FAANG many times. Here you need to return the longest common prefix among all the strings in an array of…
A recommendation system is one of the popular applications of Data Science. A restaurant recommendation system is an application that recommends similar restaurants to a customer according to the customer’s taste. If you want to learn how to build a…
Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. So, if you are looking for a step-by-step guide to learning Data Analysis, this article is for you. In this…
Astronomy is the study of everything we see with the naked eye or discover from the telescope, satellites and other instruments in the universe. The instruments used to study the universe collect data in many forms. Scientists use this data…
Two Sum is a popular problem in Leetcode. It is often asked in coding interviews from companies like FAANG. Here you need to return the indices of integers from an array whose addition equals the target value. So, if you…
A recommendation system is one of the popular applications of Data Science. A Book Recommendation system is an application used to recommend similar books to a user. If you want to learn how to build a book recommendation system, this…
While learning a new programming language, it is valuable to solve practice questions. When you solve questions, it develops problem-solving skills. If you are learning Python and have completed the fundamentals of Python, your next step should be to solve…
Fintech means using technology to provide financial services. There are a lot of Fintech companies we take any finance service from daily. Some worldwide known examples of Fintech companies are Mastercard, Visa, Stripe, and Paypal. Data is considered the ABCD…
Finding the missing number in an array is a popular coding interview question. According to LeetCode, this question is popular in the interviews of companies like Amazon, Adobe, Microsoft, LinkedIn, and many more. If you want to learn how to…
Stock Market Analysis means analyzing the current and historical trends in the stock market to make future buying and selling decisions. Stock market analysis is one of the best use cases of Data Science in finance. So, if you want…
A Data Analyst analyzes data to gather valuable insights that can be used for decision-making and solving various business problems. The job of a Data Analyst can be different in every organization and every domain. But there are some responsibilities…
The activities a business performs to promote its products or services among the target population is known as Marketing. There are a lot of problems where Data Science is used in the marketing domain. So, if you want to know…
Grouping elements of the same indices means grouping elements of two or more data structures according to their indices. It is a tricky problem for beginners and can be asked in any coding interview. If you want to learn more…
Netflix is a subscription-based streaming platform that allows users to watch movies and TV shows without advertisements. One of the reasons behind the popularity of Netflix is its recommendation system. Its recommendation system recommends movies and TV shows based on…
Data Analysis is the process of analyzing data to gather valuable insights that can be used for decision-making and solving various business problems. There are many tools that you can use for Data Analysis. In this article, I will take…
If you visit some of the LinkedIn profiles of Data Science professionals, you will notice that most of them don’t have a master’s or a bachelor’s degree in Data Science. Most of them have engineering or statistical background. They don’t…
The number guessing game is a popular game among programmers. In the number guessing game, the program selects a random number between two numbers, and the user guesses the correct number. If you want to learn how to create a…
Website Traffic Forecasting means forecasting traffic on a website during a particular period. It is one of the best use cases of Time Series Forecasting. If you want to learn how to forecast traffic on a website, this article is…
Data science is a combination of data mining and computer science. Data plays an important role in every data science task. As a data science professional, you need to know what kind of data you are working with to solve…
Time Series Forecasting is the process of analyzing and modeling time-series data. It helps in forecasting the future behaviour of the market, which is helpful in the decision-making for every business. Some of the applications of Time Series Forecasting are…
While working on a Data Science task, sometimes we have to deal with textual data. One of the problems beginners face while working on a textual dataset is counting the number of words in a piece of text. So if…
Time Series Forecasting means analyzing and modeling time-series data to make future decisions. Some of the applications of Time Series Forecasting are weather forecasting, sales forecasting, business forecasting, stock price forecasting, etc. The ARIMA model is a popular statistical technique…
As a beginner in the Python programming language, you must have heard that the applications of Python are Data Science, Machine Learning, Data Analysis, Web Development, Automation, and even Robotics. But what are the existing applications of Python in the…
Salary is one of the most valuable factors in choosing a career. No one would like to prepare for a job that doesn’t pay well. So, if you are preparing for the role of a Data Science professional and want…
Emojis are used to express our emotions while writing a message or any piece of text. If you want to learn how to display emojis in the output using the Python programming language, this article is for you. In this…
Instagram is one of the popular social media applications today. People use Instagram to share photos and videos. One of the reasons behind the popularity of Instagram is its recommendation system. It helps in grabbing the attention of the user…
Web Scraping means collecting data from a web page. It is one of the techniques used by Data Science professionals to create datasets. Python has a collection of useful libraries for web scraping. If you want to know about those…
Data science is one of the highest paying career options today. There are many jobs in this field, some of the most popular of which are Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer. If you know you…
Seaborn is one of the best Python libraries for Data Visualization. It is built on top of Matplotlib. Unlike Matplotlib, Seaborn cannot be the only Data Visualization library in your skillset, but some visualizations look better and more understandable with…
There has been a high demand for online food orders after the introduction of Swiggy and Zomato in the market. Food delivery companies use your buying habits to make the delivery process faster. The food order prediction system is one…
The new MacBooks with the M1 processor provide so many specifications that are enough for every Data Science and Machine Learning professional. But if you have just purchased a MacBook, you have to create a virtual environment to prepare it…
Python is one of the best programming languages today. On macOS, Python is preinstalled and available to use. But people often find it hard to install the latest version of Python on macOS. So if you have just purchased a…
Correcting spellings in a piece of text is one of the handy features that can be used in any application where users write content. For example, if you want to create a notepad, it should have a feature to identify…
There is a lot of competition among the brands in the smartwatch industry. Smartwatches are preferred by people who like to take care of their fitness. Analyzing the data collected on your fitness is one of the use cases of…
If you are a beginner in Python, you must be using the IDLE code editor that comes with Python. There are many better code editors and tools you will need to use as a Python programmer. So, if you want…
Working on a data science project is one of the best ways of showing your skills in working with data. If you are a data science student, your university will ask you to submit a report on your data science project in…
Anagrams are words formed by rearranging the letters of another word, For example, car and arc, cat and act, etc. Grouping anagrams is one of the popular questions in coding interviews. So if you want to learn how to solve…
Sentiment analysis of reviews of a product or service helps businesses understand what their customers want from them. Analyzing the reviews is one of the primary use cases for sentiment analysis. If you’re looking for data science projects on sentiment…
Tinder is one of the most popular dating applications. It connects people having similar interests. To check whether Tinder helps people find partners, we can analyze the sentiments of people about Tinder. There are a lot of reviews on the…
TensorFlow is one of the most powerful frameworks for Machine Learning. It was created by Google and used by companies like Airbnb, Spotify, and Google. So if you are looking for the best resources to learn TensorFlow, this article is…
Python is one of the most valuable programming languages in the industry. It is preferred by data science professionals and web developers. If you are looking for a complete course to learn Python, this article is for you. This article…
Many computer science students look for programming project ideas in their final year. Your final year project should be on a real-time problem. So if you are a final year student and looking for some Python project ideas, this article…
MNIST Digits classification is one of the popular case studies in the data science community. It is based on the problem of Classification in Machine Learning. If you are a beginner in Machine Learning, you must try to solve this…
One of the tasks while solving a machine learning problem using Python is to convert a Pandas DataFrame to a NumPy array. A pandas DataFrame is a DataFrame object that we use to work with data, and a NumPy array…
Data Science is one of the highest-paid career options today. It is so popular that you can learn everything about data science without spending any money. But some people like to choose a paid course over free resources as we…
Rock Paper Scissors is a hand game usually played between two people. In this game, scissors can beat paper, paper can beat rock, and rock can beat scissors. If you want to learn how to create a rock paper scissors…
Data Analysis is the process of analyzing a large amount of data to find relationships between different features in the data. If you are a final year student of business analysis or data analysis and looking for some data analysis…
Analyzing a player’s performance is one of the use cases of Data Science in sports analytics. Virat Kohli is one of the most famous cricketers in the world. So it will be a great data science project if we analyze…
As a Data Science Professional, it is valuable to learn about using cloud computing platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS) for Data Science. So if you want to know how to learn Google Cloud Platform…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning and looking for a certification or course to learn and get certified in machine learning, this article is for you. In…
Web scraping is one of the most valuable skills every coder should have. If you want to learn how to collect data from GitHub using web scraping techniques, this article is for you. In this article, I will take you…
Sports Analytics is the task of analyzing sports data. It includes player performance analysis, analysis of all game highlights, data storytelling and summary of a sports tournament, comparison of strengths and weaknesses of teams and players, etc. So, if you’re…
Every sporting event today generates a lot of data about the game, which is used to analyze the performance of players, teams, and every event of the game. So the use of data science is in every sport today. Currently,…
As a data science professional, it is important to learn how to use cloud computing platforms like Amazon Web Services or Google Cloud Platform for data science. So, if you want to know how to learn Amazon Web Services for…
As a beginner in data science, the choice of topics for data science projects depends on the ease of availability of datasets. Sometimes students think about unique topics, but they can’t find a dataset for their project. So if you…
Text generation involves generating text using machine learning techniques. The purpose of text generation is to automatically generate text that is indistinguishable from a text written by a human. If you want to learn how to generate text with Python,…
Data Science is one of the best career options in this data-driven world. There are a lot of technical skills required to work as a data science professional in any domain. If you are learning Data Science and are looking…
Student marks prediction is a popular data science case study based on the problem of regression. It is a good regression problem for data science beginners as it is easy to solve and understand. So if you want to learn…
Power BI is a data visualization tool from Microsoft. It lets us easily connect to data and visualize it to discover necessary insights. As a data science professional, you must know Power BI or Tableau. So, if you are looking…
Data analysis means working with data to gather the information which can be used for decision making and solving various business problems. There are many free resources on the internet for learning data analysis. But if you are looking for…
A list is a collection of items provided by the Python programming language, whereas a dictionary in Python is used to store data into key and value pairs. If you want to learn about converting two Python lists into a…
The use of data science is in all fields today. Economics is one of the fields in which we study the growth of a country by understanding the data on the economic factors of a Country. So, if you want…
The outbreak of Covid-19 resulted in a lot of restrictions which resulted in so many impacts on the global economy. Almost all the countries were impacted negatively by the rise in the cases of Covid-19. If you want to learn…
Tableau is one of the most popular data science tools used for data visualization and analysis. If you want to become a data scientist, you need to know how to use Tableau. So if you’re looking for some of the…
Python has been one of the best programming languages for a long time now. It is preferred by data science professionals and web developers around the world. Many companies need skilled Python developers. If you want to get a job…
Sometimes a Python developer needs to collect some text information from PDF files. So extracting text from a PDF is a problem you should know how to solve as a Python developer. If you want to learn how to extract…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve…
TikTok is one of the most popular social media apps today. It is famous for its short videos. People often use this app to watch entertaining and funny videos. Despite its entertaining content, this application is not liked by everyone.…
Data Science certifications are all about certifying whether a person knows how to work with data or not. Although if you have a good list of projects in your portfolio, you don’t need any data science certification. Having a certification…
A Python developer can work as a web developer, API developer, data analyst, and sometimes a developer who writes reusable code for the complete team of developers. The role of a Python developer may differ from company to company, but…
A linear relationship is a statistical term that is nothing but the relationship between two variables. A linear relationship shows how well two variables x and y are related to each other. As a data science professional, you should know…
Many beginners in data science are often confused about what job role they should prepare for. People who are starting to learn data science have either an engineering background, a statistical background, or a non-computer background. Each person has their…
Clustering is a machine learning technique to group data points characterized by specific features. Clustering music genres is a task of grouping music based on the similarities in their audio characteristics. If you want to learn how to perform clustering…
Many data science beginners can solve any data science problem by following a tutorial, but they often struggle to solve a new data science problem. It’s not easy for beginners to start solving a problem when they see a new…
Natural language processing (NLP) is a subfield of artificial intelligence and computer science. NLP is the process of processing and analyzing natural language data to create intelligent applications that can understand human languages. Like machine learning, Python is also preferred…
Mean, Median and Mode are the fundamentals of statistics used in almost every domain where we deal with numbers. Python is one of the best programming languages for numerical calculations. So you should know how to calculate mean, median and…
SQL is one of the most important skills for data science professionals. Most data science beginners don’t focus on learning SQL as much as on learning Python. SQL is as important as Python for data science, especially if you’re looking…
Covid-19 is one of the deadliest viruses you’ve ever heard. Mutations in covid-19 make it either more deadly or more infectious. We have seen a lot of deaths from covid-19 while there is a higher wave of cases. We can…
Python is one of the best programming languages today. It is preferred by web developers and data science professionals around the world. When we learn a new programming language, it is important to work on some basic projects to improve…
In Python, Break and Continue are statements executed inside a loop. These statements either skip according to the conditions inside loops or terminate loops at a point. If you want to learn all about the Break and Continue expressions in…
Matplotlib is one of the most preferred Python libraries for data visualization. If you are learning data science, you must be aware of the kinds of data visualizations you need to work with. In this article, I will not focus…
Data Analysis is one of the best career options for someone who is not from a computer science background and still wants to build a career as a Data Science professional. As data analysis is a popular field today, you…
Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content. As Instagram is a popular application used by…
Python is one of the most popular programming languages for a long time now. There are so many big tech companies that are using Python. It’s easy to learn and implement Python, that is why so many developers are choosing…
If you are a Data Science student, you must have found it hard to choose a topic for creating your first data science project as a beginner. Some universities give a list that you can choose from, while some universities…
A string is a sequence of characters enclosed in single or double-quotes. String inversion is one of the most common problems in computer science. Here we need to reverse the characters of a string. So, if you want to learn…
In machine learning, we use data and algorithms to build intelligent systems. Companies use machine learning to make their systems and applications smart enough to give a better user experience to the customers. As machine learning is a popular skill,…
Today is the 19th day of war between Russia and Ukraine. Many countries are supporting Ukraine by introducing economic sanctions on Russia. There are a lot of tweets about the Ukraine and Russia war where people tend to update about…
Data science is one of the highest-paying career options in this data-driven world. Every company now makes decisions based on the data generated by its business. A company, therefore, needs skilled data science professionals to turn raw data into actionable…
Machine Learning is a branch of Artificial Intelligence where we use data and algorithms to build intelligent systems. It is one of the highest-paid skills in the industry today. If you want to learn machine learning, you should know that…
Web Scraping is one of the skills that every data science professional should know. Sometimes the data we need is available on a website in the form of a table which cannot be downloaded directly from the website. To use…
As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills. If you’re struggling…
Breast cancer is one of the types of cancer that starts in the breast. It occurs in women, but men can get breast cancer too. It is the second leading cause of death in women. As the use of data…
YouTube is one of the platforms where millions of people can learn anything for free, as there are so many content creators on YouTube that create valuable content for its audience. So if you are learning data science and looking…
If you are new to machine learning, you have to choose a programming language to learn machine learning and implement it on data. Python is one of the most preferred programming languages for machine learning. So if you want to…
SequenceMatcher is a class in Python available in the difflib module, which provides functions for comparing sequences in two different pieces of text. So whenever you want to compare two text files, you can explore the difflib module in Python.…
Data Visualization is one of the most important skills that every data scientist should have. Data visualization helps in analyzing data by summarizing the data into graphs, which helps understand the story behind the numbers. There are so many tools…
Predicting the future sales of a product helps a business manage the manufacturing and advertising cost of the product. There are many more benefits of predicting the future sales of a product. So if you want to learn to predict…
You must have seen a lot of people in the data science community using Python often and promoting the use of Python for data science. So is it just their biases with Python or it is best for Data Science?…
Data Structures and Algorithms are the pillars of every coding interview. Most coders learn the essential data structures and algorithms but still fail to crack coding interviews. So what you should do is solve various problems based on data structures…
CSV (Comma Separated Values) files are the most commonly used file format for importing and exporting big datasets. The reason why a CSV file is preferred over an Excel file is that a CSV file consumes less memory as compared…
Data science is used in all fields today. Whether it’s social media, marketing, or anything else you’ve heard of, data science is used everywhere. Finance is one of the important domains in the industry, and it also depends on data…
The introduction of online payment systems has helped a lot in the ease of payments. But, at the same time, it increased in payment frauds. Online payment frauds can happen with anyone using any payment system, especially while making payments…
An algorithm is a sequence of steps to solve a problem. In computer science, the efficiency of an algorithm depends on how well it organizes data appropriately. The organization of data to solve a particular problem is known as a…
Python has been one of the highest demanded programming languages for the past five years in the industry. Almost every popular website uses Python either in the front-end or the back-end. So if you want to know about some of…
If you are learning Data Science and find it hard to create a dataset for practice from scratch, you can either download a dataset from Kaggle or create fake data. If you want to learn how to create a dummy…
Variance, covariance, and correlation are statistical measures for finding the relationship between data points in a dataset. If you are learning data science, you need to understand these terms. So if you want to learn more about variance, covariance, and…
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product…
Most students learn coding to get a job. But sometimes it takes a long time to complete the courses and other skills required to get your first job. So what should you do as a student if you want to…
The execution or running time of the program indicates how quickly the output is delivered based on the algorithm you used to solve the problem. To calculate the execution time of the program, we need to calculate the time taken…
Whenever you have seen a roadmap to learn data science, you must have found people often highlighting Python or R. Python and R are the most popular programming languages among the data science community. But just having the practical knowledge…
Netflix is one of the most popular OTT streaming platforms. It offers a vast collection of television series and films and owns its productions known as Netflix Originals. People who are highly active in stock market investments always keep an…
Sentiment analysis means extracting, identifying, or classifying sentiment from text using natural language processing. It is also known as opinion mining. If you’re looking for some of the best sentiment analysis project ideas, this article is for you. In this…
There are so many code editors for Python that you can use as a student or a professional Python developer. If you want to know about the best code editors for Python, this article is for you. In this article,…
Cuss Words are the words that make your language sound very impolite, rude, and culturally offensive. Sometimes we need to identify and remove cuss words from a piece of text. So if you want to learn to remove cuss words,…
Tipping waiters for serving food depends on many factors like the type of restaurant, how many people you are with, how much amount you pay as your bill, etc. Waiter Tips analysis is one of the popular data science case…
Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…
Finding duplicate values from an array or any other data structure is one of the popular coding interview questions that you can get in any coding interview. The Python programming language provides many inbuilt functions to find the duplicate values,…
There are so many popular programming languages you can learn. Some languages will help you get your first job, while others can help you land your desired job role. So which programming languages should you learn in 2022? In this…
Data Science is one of the best and most competitive careers today. To work as a data science professional in any field, you need to work on projects that showcase most of your skills and approaches to solving business problems.…
You must have heard about some machine learning algorithms before, but most beginners often get confused about how many machine learning algorithms they need to learn when they see professionals using algorithms (specifically in Kaggle) that they haven’t heard about…
A histogram contour plot is a two-dimensional representation of a histogram that looks like a contour plot. It is used to analyze anomalies and manage overplotting in a large dataset. If you don’t know how to visualize a histogram contour…
Decoding a QR code means finding the value, number, text or link behind the QR code. There are many ways to decode a QR code used by your smartphone cameras, which helps you scan a QR code while making online…
Time series analysis means analyzing and finding patterns in a time series dataset. A time-series dataset is a sequence of data collected over an interval of time. Stock price data, monthly sales data, daily rainfall data, hourly website traffic data…
Python is one of the most popular programming languages today. In 2022, Python will be used more in the industry with programming languages like Golang and JavaScript. If you are looking for a job as a Python developer, the first…
Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language…
A time-series graph is a line plot that displays trends or patterns over a dataset collected over an interval of time. For example, when you visualize a line plot of the daily sales made by a business, you are visualizing…
A QR Code is a scannable code used to store information. QR codes are used to redirect you to a specific page or to show you some information. You must have scanned QR codes once in your life when making…
In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…
Time series analysis is one of the most important topics in data science. Time series data is a sequence of data points collected and indexed based on an interval of time, and when we analyze such data to find patterns…
A neural network is a computational architecture that connects an input layer to the output layer. Learning about Neural Networks will not only help you in solving complex Deep Learning problems but will also help you do better in an…
A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…
Visualizing data is one of the most valuable skills every Data Scientist and Analyst should have. There are a lot of data visualizations to learn in data science. So if you are a beginner in data science and want to…
Tokenization is the first step you should perform after collecting a textual dataset in every problem based on Natural Language Processing. Sentence and Word tokenization are two different strategies of tokenization that you should know. In this article, I will…
LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…
Facebook is one of the most popular social media platforms that owns other popular social media platforms like Instagram and WhatsApp. Facebook is one of those companies where every software engineer and data scientist wants to work. If you want…
Deep Learning is a subset of machine learning that mimics the human brain to solve complex problems. Deep Learning is used to train computers to perform tasks where humans are good at, but computers are not. If you are learning…
Deep Learning is a subset of machine learning where we need a large amount of data to train powerful models capable of finding relationships in data to solve complex problems. While machine learning algorithms can also be used to train…
A machine learning algorithm is used to find relationships between features and labels. Features are the independent variables that we feed into an algorithm to train a machine learning model, and labels are the dependent variables that we aim to…
Query data means requesting specific data from a dataset. If you are familiar with SQL, you must know what it means to query data, but if you use the pandas library in Python, you can still query data from your…
You must have heard or invested in any cryptocurrency once in your life. It is a digital medium of exchange that is encrypted and decentralized. Many people use cryptocurrencies as a form of investing because it gives great returns even…
You must have heard that JavaScript is currently the most popular programming language, and Python is one of the popular languages among Data Scientists. Just like that, every programming language is being used in the industry somewhere it is best.…
In Data Science, Time Series data is a sequence of data points collected and indexed according to time. When we analyze such kinds of data to find patterns over an interval of time, it is known as Time Series Analysis.…
The activation function is a function used in neural networks to calculate the weighted sum of inputs and biases, which is used to determine whether a neuron should be activated or not. You must have heard a lot about activation…
A box plot is a statistical data visualization technique for analyzing the distribution and patterns of numerical data points of a dataset. It represents quartile 1, quartile 3, median, maximum and minimum data points of a feature which helps to…
As machine learning practitioners, we need to collect stock price data for regression analysis and time series analysis. We can easily download it from Yahoo Finance. But imagine if we want to create an application where we can analyze the…
Stress, anxiety, and depression are threatening the mental health of people. Every person has a reason for having a stressful life. People often share their feelings on social media platforms like on Instagram in the form of posts and stories,…
Data Analysis is the process of working with data to gather useful insights that can be used for decision making and solving various business problems. Most of the success stories you hear about companies today are because they have a…
In Data Science, Time Series Analysis is a method of analyzing data collected over an interval of time. Stock price data and covid-19 cases data are examples of time-series data. Time Series Analysis helps understand the underlying causes of trends…
There are so many Python libraries for data science out there today that you will get the simplest alternative of almost any library. As a data scientist, you need to keep improving your skills, so you need to keep learning…
A candlestick chart is a data visualization tool used to analyze the price movements of stocks, cryptocurrencies, currencies, and other financial instruments. If you work as a data scientist/analyst in the finance domain, a candlestick chart is one of the…
Finding the length of a string means counting the number of letters in a string. Python has a built-in len() function for this task, but what if you get a coding interview question to find the length of a string…
AlexNet is a popular convolutional neural network architecture that won the ImageNet 2012 challenge by a large margin. It was developed by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton. It is similar to the LeNet-5 architecture but larger and deeper.…
The role of a Data Scientist, in general, is to convert raw data into actionable insights by understanding the purpose of a business. Just like that, a data scientist working in healthcare is supposed to solve problems with data generated…
Python is one of the most popular programming languages today. As it is an open-source programming language, so many contributors contribute to Python to allow it for endless possibilities. This is what makes Python useful for web development, Database access,…
Matplotlib is a data visualization library in Python that is primarily the very first data visualization library that any newbie to data science learns. One of the advantages of matplotlib is that it is used in the industry by data…
A candlestick chart is a data visualization tool used to analyze the price movements of stock prices, currencies, and other financial instruments. It is often used in stock price analysis by stock traders and financial analysts. Many financial analysts and even data science beginners…
Detecting questions means identifying whether a sentence is interrogative or not. We can also use machine learning to detect questions, but since we all know the type of sentences we see in an interrogative sentence, it is also possible to…
A few days ago, the WHO designated a new variant of the coronavirus, B.1.1.529, as a variant of concern which has been named Omicron. Right after that, we saw an outbreak of tweets about the Omicron variant on Twitter. So,…
In machine learning, multiclass classification is the problem of classifying between more than two classes. It is also known as multinomial classification. Simply put, when the target column in your dataset contains more than two classes, then you are working…
Financial analysis is one of the important tasks for every business. The use of data science in finance helps solve many business problems involving stock markets, risk analysis, hypothesis testing, fraud detection, risk management, credit allocation and algorithmic trading. If…
Correlation is one of the most important statistical terms used in data science. It is used to measure the intensity of relationships between variables. If you know how to calculate correlation in data science but don’t know to analyze it,…
There are some pieces of scripts or code that we generally use in the middle of several tasks daily. For example, whenever I work on a sentiment analysis task, I always use one common script to clean the text column…
One of the mistakes data science newbies make while working on a machine learning project is that they train a machine learning model, check its accuracy score, and then complete the project. They do not test the performance of the…
If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As a data science student, you…
Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use of data science in marketing…
A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by your company itself, but as…
A data scientist has to spend a lot of time preparing a dataset for any data science task because the data we get has a lot of errors, and sometimes it is not labeled. Adding labels to a dataset is…
Dropping rows and columns from a dataset helps in preparing the data so that we can filter the data for better understanding. When we are working on a data science task, we store the data in a Pandas DataFrame, and…
You must have studied that the demand for a product varies with the change in its price. If you take real-world examples, you will see if the product is not a necessity, then its demand decreases with the increase in…
A recommendation system is a data science application used by almost every platform today to recommend content to its users. Having recommendation system projects on your resume will help you get shortlisted in your preferred data science role. So if…
Data visualization isn’t just about graphing your data, it means finding the story behind the numbers to discover the relationships between the features of a dataset. Data visualization is one of the most important skills any data scientist should have,…
A glossary is a list of words with their meanings about a specific subject or topic. When learning machine learning, you go through a lot of terms that are not easy to remember, but if you have a machine learning…
Sentiment analysis is the task of natural language processing where we detect a positive or negative sentiment from a piece of text. Sentiment analysis is used by companies to analyze the opinions of customers about their products or services so…
Finding the index of the maximum value in a list or an array is one of the most common coding interview questions you can get in any coding interview. Here you have to find the index of the maximum value…
The price of electricity depends on many factors. Predicting the price of electricity helps many businesses understand how much electricity they have to pay each year. The Electricity Price Prediction task is based on a case study where you need…
There are so many tools that a data scientist has to use daily, and each tool has several alternatives. Just like a programming language, you can choose any tool that you find easy to use, if you are productive for…
Binary classification is one of the types of classification problems in machine learning where we have to classify between two mutually exclusive classes. For example, classifying messages as spam or not spam, classifying news as Fake or Real. There are…
A word cloud is a data visualization technique that shows the most used words in large font and the least used words in small font. It helps to get an idea about your text data, especially when working on problems…
A recommendation system is one of the applications of data science that is used by almost any application or website today. Many websites today use a recommendation system to recommend articles to their readers. For example, Medium.com and even the website…
Data analysis is the process of inspecting and exploring data generated by a particular population to find the information needed to make decisions and draw conclusions. With the use of data in decision making, most businesses today need data analysts.…
When there are only two classes in a classification problem, this is the problem of binary classification, just like that, classification with more than two classes is called multiclass classification. If you want to know the best algorithms for multiclass…
By using a third-party application or API to manage the functionality of an application, you are automating the application. If you send messages, post photos or videos, or follow someone without opening your Instagram directly, that means you are automating…
The squid game is currently one of the most trending shows on Netflix. It is so much trending that people who have never watched any web series before are also watching it. One of the reasons behind this is the…
Python is one of the most popular programming languages today. It is preferred by data scientists and web developers and is currently used by companies like Google, Netflix, Facebook, Uber, Goldman Sachs, PayPal, and many more. There is a great…
API stands for Application Programming Interface, it is a way to connect computers or computer programs. Simply put, you can think of it as software that helps in the development of other software. Many companies are looking for API developers…
A voice recorder is found in every smartphone and computer today. It is an application that is used to record sound and save it in a specific file format, which can be listened to and transferred to another device. If…
Language detection is a natural language processing task where we need to identify the language of a text or document. Using machine learning for language identification was a difficult task a few years ago because there was not a lot…
Computer Vision is one of the fields of Artificial Intelligence that enables a computer to find meaningful information from digital images, videos and other visual sources of data. The Face ID found in iPhones is one of the best examples…
A Multilayer Perceptron or MLP is one of the simplest feed-forward neural networks. Multilayer Perceptrons are the types of neural networks which are bidirectional as they foreword propagation of the inputs and backward propagation of the weights. If you want…
Dictionaries are one of the most useful data structures in the Python programming language. A Python dictionary is used to store data in the form of key and value pairs. Most Python newbies get confused when iterating through a dictionary…
Health Insurance is a type of insurance that covers medical expenses. A person who has taken a health insurance policy gets health insurance cover by paying a particular premium amount. There are a lot of factors that determine the premium…
Natural language processing or NLP is a subfield of artificial intelligence where we build applications to interact with humans. One of the examples of NLP applications is a chatbot which is used by so many websites to solve some of…
Clustering is the task of identifying similar instances based on similar features and assigning them to clusters based on similar instances. It sounds like classification where each instance is also assigned to a group, but unlike classification, clustering is based…
A scatter plot is one of the most useful ways to analyze the relationship between two features. You must have used a scatter plot before if you are learning data science but have you ever tried to create an animated…
Recently, we have seen an increase of more than 10 per cent in the stock price of Tata Motors. This has resulted in more attention to Tata Group stocks from all over India. But again today, we are witnessing a…
Deep learning is a subset of machine learning in which we use artificial neural networks to train models to solve complex problems where we need a large amount of data compared to other machine learning algorithms. If you want to…
There are so many algorithms in machine learning that you need to learn. Understanding the use cases of every machine learning algorithm is very difficult for every data science beginner, but it is very important as it helps you to…
Swapping elements of a Python list is very similar to swapping values of the variables in Python. We use the index of the items to swap the position of the items, just like variables in Python. So if you want…
Iris Flower Classification is one of the most popular case studies among the data science community. Almost every data science newbie has solved this case study once in their life. Here, you are given the measurements associated with each species…
Machine learning algorithms are a series of steps used to find the relationship between labels and features of a dataset. Machine learning algorithms play an important role in building applications and models based on machine learning. There are so many…
Almost every app or website you visit today shows you what may interest you the most. For example, if you’ve been using YouTube for a long time, you must have seen content from your favourite creators or the type of…
Using a for loop on any Python object is very easy as compared to other programming languages like C++ and Java. But have you ever tried using a for loop backwards? It’s as easy as a general for loop that…
Twitter is one of the most popular social media apps where people are free to share their opinions on any topic. There are so many tweets recorded about Pfizer vaccine awareness that can be used to analyze the sentiments of…
Learning data structures and algorithms is the most important task for every computer science student. It helps you better understand computer science concepts and also helps you to perform well in any coding interview. So if you want to follow…
The LeNet-5 architecture is the most widely used architecture of convolutional neural networks. It was created by Yann LeCunn in 1998. If you have never used the LeNet-5 architecture of convolutional neural networks, then this article is for you. In…
Finding the index of the minimum value in a list or an array is one of the popular coding interview questions that you may get in any coding interview. Here you have to find the index of the minimum value…
Kaggle is a subsidiary of Google LLC. It is an online community of data science and machine learning practitioners. As it allows the users to find and publish datasets, so today, it has more than 50,000 public datasets that you can…
FLAML is an automatic machine learning library created by Microsoft for fast and lightweight automatic machine learning. It stands for Fast and Lightweight AutoML. If you have never used any AutoML library in Python for machine learning, then this article…
Python data structures are nothing but a type of collection that allows to organize and manipulate several data values at once. If you are new to the Python programming language and want to know about the inbuilt data structures in…
There are many real-life use cases to create your unique machine learning projects. If you’re still struggling to work on an actual use case, find something practical and unique, like a machine learning project where you’ll show a comparison of…
A cheat sheet is like a set of notes for a quick reference. If you are a beginner in data science, you can have a data science cheat sheet with you while solving problems. There are many data science cheat…
The mean shift algorithm is a nonparametric clustering algorithm that does not require prior knowledge of the number of clusters. If you’ve never used the Mean Shift algorithm, this article is for you. In this article, I’ll take you through…
The map() function in Python is one of the examples of functional programming in Python. It is used to apply a specific function or method to each element of an iterable. If you’ve never used the map function in Python, this article…
Predicting the number of orders for a product is one of the strategies a business can follow in determining how much to invest in marketing their product. So, predicting the number of orders is an important data science use case…
A GitHub repository is a directory of all your projects with their revision history. It is used to manage your projects or show your projects as a portfolio. Generally, you will see people uploading their projects on a GitHub repository,…
Pandas Profiling is an amazing open-source Python library that is used for a quick exploratory data analysis of your data in a few lines of code. Exploratory data analysis is a very important step in data science tasks, and this…
LCM stands for Least Common Multiple, which means finding the smallest number that is a multiple of two or more numbers. If you want to learn how to find the LCM of two numbers using the Python programming language, then…
We all watch movies for entertainment, some of us never rate it, while some viewers always rate every movie they watch. This type of viewer helps in rating movies for people who go through the movie reviews before watching any…
If you are learning Python for data science, you should know that there are many Python frameworks that you should learn for data science. From reading a CSV file, or image dataset, to training your machine learning model, or a…
If you find it difficult to work on machine learning projects as a beginner, it will be good for you to break the entire process of a machine learning project into small steps. This will help you focus on all…
Pandas is a very fast and efficient DataFrame object for working with data. It provides highly efficient functions, ranging from reading and writing data to manipulate and preparing data for any kind of data science task. Although you need to…
Price is one of the most important factors influencing the demand for a product. Elasticity refers to the degree of response, and the price elasticity of demand refers to the degree of responsiveness of demand for a product due to…
Twitter is one of those social media platforms where people are free to share their opinions on any topic. Sometimes we see a strong discussion on Twitter about someone’s opinion that sometimes results in a collection of negative tweets. With…
There are so many business problems where a company needs good coders to solve their problems with their coding skills. To identify whether someone is a good coder or not, your projects are the only work that can show your…
The Mini-batch K-means clustering algorithm is a version of the standard K-means algorithm in machine learning. It uses small, random, fixed-size batches of data to store in memory, and then with each iteration, a random sample of the data is…
Age Calculator is an amazing coding project idea for beginners. If you are new to any programming language, you should try making an age calculator. It is an application where a user enters his date of birth as an input,…
Apple has just announced the date of its September event when it is about to launch the new iPhone 13. It is currently the center of attention on the stock market. Stock market analysis is one of the popular applications…
Computer vision is one of the fields of artificial intelligence. The way machine learning is used to make systems smart enough to solve business problems by finding meaningful relationships from data, similarly, computer vision is used to make systems smart…
In machine learning, Part of Speech Tagging or POS Tagging is a concept of natural language processing where we assign a tag to each word in a text, based on the context of the text. It helps in understanding the…
The range function in Python is a general function that can be used in a variety of ways. It is used with for loops to generate indexes, but you can use this function anywhere you need integers in a particular…
Insurance is a contract whereby an individual obtains financial protection against losses from an insurance company against the risks of financial losses as mentioned in the insurance. Many types of insurance exist today and there are so many companies that…
VS Code is one of the best code editors for every programming language. One of the reasons for its popularity is the support for extensions that give you a better coding experience. So if you are a Python programmer and…
PandasGUI is an amazing Python library for data analysis. It is used for interactive visualization of a pandas DataFrame. It is built on the PyQT library in Python that is used for creating advanced desktop GUI applications. If you’ve never…
Counting the number of specific words in a file is something you need to know as a coder. Counting the most frequent words in a file is one of the coding questions you can get to solve in any coding…
Binary classification is one of the popular classification problems in machine learning where we have to predict the class of a sample based on two categories like 1 or 0, true or false, yes or no, etc. If you want…
NumPy stands for Numerical Python, it provides all the functions you need to prepare and transform your data before using a machine learning algorithm. It can be compared to Python lists, but it offers more efficient storage and functionality for…
Klib is a Python library that provides amazing functionality for exploring your data in just a few lines of code. If you find that data exploration takes a lot of time, you can use this library as it gives you…
Counting the number of specific letters from a file is something that every coder should know. One of the most popular coding interview questions based on this logic is to count the number of capital letters from a file. So…
Sarcasm has been part of our language for many years. It means being the opposite of what you mean, usually with a distinct tone of voice in a fun way. If you think that anyone can understand sarcasm, then you…
A graphical user interface or GUI is a very important part of every application. Today, all websites, apps, and even smartphones give you almost the same performance you expect at a particular price point, but the only feature that sets…
The Python Imaging Library or PIL is an amazing Python library used for image processing. This library provides so many features for working on images using Python. It is used as an image processing tool with other Python image processing…
Covid-19 is one of the topics you can work on in many unique data science projects. To work on any type of Covid-19 related project, you must work by using the latest dataset. So, if you want to learn how…
Access to safe drinking water is one of the essential needs of all human beings. From a legal point of view, access to drinking water is one of the fundamental human rights. Many factors affect water quality, it is also…
If you think that data engineers, data scientists, machine learning engineers, and data analysts are the only types of professions you get in data science, you are completely wrong. There are many types of data science jobs that are based…
In Machine Learning, the performance evaluation metrics are used to calculate the performance of your trained machine learning models. This helps in finding how better your machine learning model can perform on a dataset that it has never seen before.…
Spaces are nothing more than a string in Python. To remove space from a Python string, you must treat it the same way you have removed any other character from a string. So if you want to learn how to…
You must have seen something common in all new businesses and startups these days, it’s just data. Almost every new business and startup that you see and draw inspiration from use data science so much that they can figure out…
Agglomerative clustering is based on hierarchical clustering which is used to form a hierarchy of clusters. It is one of the types of clustering algorithms in machine learning. Unlike the K-Means and DBSCAN clustering algorithms, it is not very common…
The list in Python is like the array of other programming languages. It is one of the most used built-in data structures in Python. So, during a Python coding interview, you may come across many questions based on Python lists.…
There are so many social media platforms today where you will find so many content creators in so many types of fields. As a social media consumer, the number of followers you have may not be of interest to you,…
The Multinomial Naive Bayes is one of the variants of the Naive Bayes algorithm in machine learning. It is very useful to use on a dataset that is distributed multinomially. This algorithm is especially preferred in classification tasks based on…
There are a lot of tasks where we want to extract the details of a person’s phone number. It can help the telecommunications industry as well as other businesses that deal with people’s problems with networks. If you want to…
The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the…
A machine learning model is a file that is trained to identify multiple relationships in a dataset. Usually, we train a model using a machine learning algorithm and use it for further predictions. Many powerful machine learning models are trained…
Plotly is an amazing data visualization library that allows you to create beautiful and interactive data visualizations with just a few lines of code. Plotly is available for Python, R, MATLAB, Perl, and Julia also. It is therefore available for…
A collage maker is a tool used to merge different images into one. It allows you to save and share images as a collection of memories. You must have seen an option to create a photo collage on your smartphone…
Hate speech is one of the serious issues we see on social media platforms like Facebook and Twitter, mostly from people with political views. I recently shared an article on how to train a machine learning model for the hate…
Mathematics is one of the prerequisites that most data science enthusiasts fear to get into machine learning. Without learning math, it will be very difficult for you to create your algorithms although it is possible to learn machine learning if…
The Bernoulli Naive Bayes is one of the variations of the Naive Bayes algorithm in machine learning and it is very useful to use in a binary distribution where the output label may be present or absent. If you have…
End-to-end encryption is a system that ensures that only the users involved in the communication can understand and read the messages. Many applications use end-to-end encryption to protect their users’ data. So, if you want to know how to protect…
Hate speech is one of the serious issues we see on social media platforms like Twitter and Facebook daily. Most of the posts containing hate speech can be found in the accounts of people with political views. So, if you…
If you want to become an expert in machine learning, you must also learn deep learning. There are many paid and free courses on the internet that can give you a comprehensive knowledge of the concepts of deep learning. So,…
Web Scraping is one of the skills that every Data Science professional should know. Web scraping means collecting data from a website you want for a particular task. There are many Python libraries that you can use to collect data…
A violin plot is used to visualize and compare the distribution of quantitative data over several levels of categorical features. It is very useful to visualize several distributions in a dataset at a time. If you don’t know how to…
Amazon is an American multinational corporation that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence products. But it is mainly known for its e-commerce platform which is one of the biggest online shopping platforms today. There are so…
Many freshmen with data science skills struggle to get their first job as data scientists. One of the main reasons behind this is that an interviewer doesn’t find the perfect personality in you to fit into a data scientist role.…
There are many situations where we need to analyze geospatial data by creating a map of any location in the world. To analyze geospatial data, we just need to plot the latitude and longitude data on a map. So if…
Data science isn’t just for people who know how to code, it’s primarily for those who can analyze a business’s performance and find the information needed to solve business problems. To understand a company’s performance, statistics is one of the…
There are 60 seconds in a minute, 3600 seconds in an hour, and 86400 seconds in a day. We can easily find the number of seconds in each day, hour, week or even a month as these are just simple…
One of the most common questions a student asks is which programming language to learn first. Since there are so many languages today, but they still see most college students using C++, Java, or Python, so this question makes sense…
Python is one of the most popular programming languages today. It is best to use by data scientists and web developers. Besides data scientists and web developers, many companies also require a Python developer. So if you are one of…
Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19, so analyzing the unemployment…
There are many data sources on the internet where you can find thousands of datasets to work on data science projects. If you want to know what kind of datasets you can use to work on advanced data science projects,…
Removing duplicates from a Python list is one of the coding interview questions you may get to solve as a Python developer. So if you want to learn how to remove duplicate values from a Python list, this article is…
Data science is one of the most popular fields today as the demand for data science professionals is increasing rapidly. If you want to become a data scientist, it is not mandatory to obtain a master’s degree in data science.…
F-beta is the weighted harmonic mean of the precision and recall. It is used as a performance evaluation measure for classification-based machine learning models. If you’ve never used this performance measurement metric before to evaluate your classification models, this article…
The spread of fake news is one of the most negative sides of social media applications. Recently I shared an article on how to detect fake news with machine learning which you can find here. With its continuation, in this article,…
In Data Science, when we are working on a problem whose output depends on periods or intervals, it means that we are working on a problem based on a time series analysis. If you want to work on some data…
Python list is nothing more than a collection of elements used to perform operations on a collection of values at the same time. So, you can easily perform any mathematical operation on a Python list as that is the main…
Python is one of the most popular programming languages. It is mostly preferred by data scientists, machine learning engineers, and web developers. Learning the basics of Python properly is very important because once you have learned the basics, you can…
A classification report is a performance evaluation metric in machine learning. It is used to show the precision, recall, F1 Score, and support of your trained classification model. If you have never used it before to evaluate the performance of…
Spam detection is one of the machine learning projects that every data science beginner must have tried once. Recently I shared an article on how to detect spam emails and messages with machine learning which you can find here. With its…
Deep learning is a subset of machine learning in which we use the power of neural network architectures that mimic the workings of a human brain while solving a problem. If you want to become a machine learning engineer, you have…
Sunburst plot is an amazing visualization technique used to visualize hierarchical data. It extends radially outward from the root to the leaves to visualize hierarchical data. If you’ve never used sunburst charts before to visualize your dataset, this article is…
There are so many applications in your smartphone that uses machine learning somewhere to provide a better user experience. Social Media applications are such applications that are found in every smartphone. So to understand the use of machine learning nothing…
Passive Aggressive Regression belongs to the category of online learning in machine learning. It is not one of the most commonly used machine learning algorithms, but it can nonetheless be used to achieve efficient results that solve regression-based problems. So,…
Whenever we are looking for hotels for vacation or travel, we always prefer a hotel known for its services. The best way to find out whether a hotel is right for you or not is to find out what people…
Web development is one of the major interests of so many computer science students. If you are among those who want to become a web developer, then you need to research some of the best web development courses. So, in…
The calendar module in Python provides access to the calendar of any month of any year. If you’ve never used this module before, this article is for you. In this article, I will present a tutorial on how to write…
Python is one of the programming languages used today by big tech companies like Google. Python is primarily used by web developers, data analysts/data scientists, and machine learning engineers. There are many platforms on the internet that you can use…
In machine learning, accuracy is one of the most important performance evaluation metrics for a classification model. The mathematical formula for calculating the accuracy of a machine learning model is 1 – (Number of misclassified samples / Total number of…
Fake news is one of the biggest problems with online social media and even some news sites. Most of the time, we see a lot of fake news about politics. So using machine learning for fake news detection is a…
As a beginner in data science, you must be looking for video tutorials and books online that can help you learn more about data science. So if you want to get an idea of what types of books are best…
The OS module in Python is used in various tasks that depend on the operating system. You must have used it before when writing or reading files from your computer to your Python program. It can also be used to…
Stochastic gradient descent is a machine learning algorithm that is used to minimize a cost function by iterating a weight update based on the gradients. If you’ve never used the SGD classification algorithm before, this article is for you. In…
Sentiment analysis is one of the popular examples of how businesses are using natural language processing in their applications. In most companies, today sentiment analysis is widely used to analyze a customer’s feelings by analyzing their reviews of their experience…
Detecting spam alerts in emails and messages is one of the main applications that every big tech company tries to improve for its customers. Apple’s official messaging app and Google’s Gmail are great examples of such applications where spam detection…
There are so many amazing features in a smartphone for typing today, like converting a user’s handwriting to text, but what if you want to convert text to handwritten text? If you want to know how to convert text to…
One of the common tasks in natural language processing is sentiment analysis. If you want to work on a project based on natural language processing, sentiment analysis will be a good choice. Before you start a project on sentiment analysis,…
In machine learning, variance is the difference between the actual samples of the dataset and the predictions made by the model. When working on a regression-based machine learning problem, it is very useful to know how much of the variance…
There are so many courses available today based on machine learning because the use of machine learning in the industry is increasing rapidly. I’ve seen a lot of courses that are expensive but still don’t include all of the important…
The number of billionaires in a country says a lot about the business environment, startup success rate, and many other economic features of a Country. So if you want to learn more about how we can find relationships among billionaires…
Data visualization helps get a clear picture of the dataset you are working on because we humans can understand things better by combining colours and graphics instead of just numbers. Some amazing data visualization tools can help a data scientist…
You must have checked the speed of your internet connection once in your life using platforms like speedtest.net. Have you ever thought about doing the same with Python? Well if you want to learn how to perform an internet speed…
There are many programming languages for web development today. Some of them only focus on front-end development or back-end development, while some focus on full-stack development. So, if you don’t know which programming language to choose for web development, this…
The R2 score is one of the performance evaluation measures for regression-based machine learning models. It is also known as the coefficient of determination. If you want to learn how to evaluate the performance of a machine learning model using…
If you want to become a Data Scientist, you must have started learning how to work with data and machine learning algorithms. If you think that the job of a Data Scientist is only to train machine learning models, you…
Microsoft is today one of the largest technology companies with more than 163,000 employees worldwide. It is known for the Windows operating system which is one of the most popular computer operating systems. If you want to learn how to…
It is very important to work on as many machine learning projects as possible to land your first job as a Data Scientist or Machine Learning Engineer. When you show up for your interview, you should have end-to-end machine learning…
The font that appears in the output of your Python program is the default font for your operating system. Changing the font of your output may not be possible without using an external library. This is where the PyFiglet library in Python…
The sequence of steps we need to take to solve a particular problem is known as an algorithm. There are so many algorithms in computer science that fall under the categories of different types of algorithms. So, if you want…
Lazy Predict is a Python library designed to compare the performance of various machine learning models on a dataset. If you don’t know how to select an algorithm when training a machine learning model, this article is for you. In…
Python is a versatile programming language loved by so many data scientists, web developers, and even software engineers. To master Python for any profession, the most important step is to master the fundamentals of the Python programming language. So if…
Gender detection is one of the popular computer vision applications. When you use a camera to detect a person’s gender instead of detecting it on a picture, it can be said to be a real-time gender detection system. So, if…
Python is one of the most popular programming languages today. As a student you might like Python more than other programming languages, but do you know how do companies use Python to solve their problems? If you don’t know how…
Resizing images is one of the most important tasks in image processing. Sometimes we have to resize the images while working with them. There are many libraries in Python that can be used for this task, so if you want…
Visual Studio Code is one of the best code editors you can use for almost any programming language and any professional project. Most people new to the Python programming language encounter issues while setting up the Visual Studio Code. So,…
t-SNE is a very powerful machine learning algorithm that can be used to visualize a high-dimensional dataset also in two-dimensional figures. It stands for t-Distributed Stochastic Neighbor Embedding. If you want to learn more about t-SNE and how to visualize…
Computer vision is a field of artificial intelligence that means giving a computer system the ability to see and analyze images just like humans. The FaceId in iPhone is one of the popular examples of computer vision applications. So if…
The classification of social media ads is all about analyzing the ads for classifying whether your target audience will buy the product or not. It’s a great use case for data science in marketing. So, if you want to learn…
Working on data science projects will help you improve your problem-solving skills and a good collection of data science projects will strengthen your portfolio which will leave a strong positive impact on your profile as a data scientist. So if…
A calendar is an application that helps organize days. You must have seen a calendar in your home, on your computer, and even on your smartphone. If you want to learn how to create a graphical user interface for a…
Programming is one of the most important technical skills that every data scientist should know. There are currently over 700 programming languages out there, so if you want to know which programming language is best for data science, this article…
When we want to train a machine learning model, it is always recommended to divide the dataset into training and test sets if your dataset is large. If you are interested in learning how to split a dataset into training…
Data storytelling is one of the most important soft skills that any data scientist should have. It means presenting the story behind the numbers generated by a business so that we can conclude the future course of action. If you…
Amazon Alexa is a cloud-based voice service developed by Amazon that allows customers to interact with technology. There are currently over 40 million Alexa users around the world, so analyzing user sentiments about Alexa will be a good data science…
Statistics is one of the most important concepts you need to know as a data scientist because without any knowledge of statistics you cannot understand data. If you are learning data science without any knowledge of statistics, this article is…
Every time you register on a new app, you automatically receive a welcome message with your name on it. If you want to learn how to send such emails automatically, then this article is for you. In this article, I…
In machine learning, we use data to predict the future course of action, but how does it add value to a company? If you are learning machine learning and don’t know how companies use machine learning, this article is for…
Independent Component Analysis (ICA) is one of the alternatives of PCA that is used to find the underlying factors or components from a multivariate statistical dataset. This is different from a standard PCA because it looks for components that are…
Support for the libraries provided by Python is one of the reasons this programming language is so popular among the data science community. To become a data scientist, you need to learn some of the Python libraries for data science.…
There are many concepts in machine learning in which a beginner should be perfect. One of these concepts is the training of a machine learning model. So if you’ve never trained a machine learning model before, this article is for…
Almost every business, big or small, today uses machine learning somewhere in their applications. Today, every business is in dire need of hiring machine learning experts, regardless of their educational background. So if you want to become an expert in…
There are so many IDEs and Code Editors for data science available today. Most of them are free for a student and as well as a professional. Although choosing a code editor is a personal choice but choosing the best…
We need to convert an image to an array to use it for any kind of data science task where we need to understand the features of an image. Converting images to an array is as easy as converting text…
You must have used a neural network for training a model on your data. There are so many types of architectures of neural networks that you can use to train a model, but have you ever visualized the architecture of…
Data science is a combination of computer science and data mining. During a data science interview, you may be faced with questions based on the fundamentals of computing and working with data. So, if you are looking for the types…
WhatsApp is a great source of data to analyze many patterns and relationships between two or more people chatting personally or even in groups. If you want to know how we can analyze the sentiments of a WhatsApp chat, this…
If you are new to data science and don’t know what to learn and how to learn, you should explore some websites and blogs that actively contribute to the data science community. There are many websites and blogs that you…
String formatting plays an important role when storing and transferring data in a way that anyone can easily understand. If you are new to the Python programming language and don’t know how to format strings to display the output, this…
Non-Negative Matrix Factorization (NNMF) is a group of machine learning algorithms used in multivariate analysis and linear algebra. It is used in place of PCA when the dataset is composed of non-negative items. If you don’t know anything about the…
Lists and tuples are data structures built into Python that are used to store items in sorted order. They both have very similar functions, but they are different in many ways nonetheless. So, if you want to know how a…
You’ll find plenty of machine learning projects and tutorials on the internet, but only a few of them focus on end-to-end model deployment. So, if you want to learn how to build an end-to-end machine learning model, then this article…
When learning a programming language, it is very important to practice questions because the more questions you solve, the better you will improve in a programming language. So if you are learning Python and looking for some Python practice questions,…
IMDb is an online database that contains data about Movies, TV Shows, Streaming Shows, Video Games, Reviews, Ratings, and all other entertainment related data. Being an online database, it provides an API so that we can collect data from IMDb…
Over the years, the use of data science has increased in finance for several financial analysis tasks that can help increase an organization’s profits. If you are looking for data science projects on finance to learn how to use data…
AutoKeras is a Keras-based machine learning framework. It was developed by DATA Lab at Texas A&M University to provide deep learning for everyone. Simply put, it is an automatic machine learning framework for deep learning. If you want to learn…
A lot of people are often confused between machine learning and automation. These two areas are very different from each other. If you’re one of those people who doesn’t know how machine learning and automation are different, this article is…
Sentiment analysis is the classification of a customer’s reviews or comments as positive, negative, and sometimes neutral also. Most businesses analyze their customers’ feelings about their products or services to find out what their customers want from them. Google play…
When learning a programming language, it is very important to learn all the fundamentals of that language and then try to work on advanced projects. So if you are done with the basics of the Python programming language and are…
A resume scanner is an application that scans all the keywords on a resume to match the skills and qualifications needed for a particular job. If you want to learn how to scan a resume using the Python programming language,…
Marketing is one of the highest-paid areas where you can work as a data scientist. Marketing refers to the activities carried out by a company to promote its products and services. Data science can be used in many ways to…
When working on a data science task, sometimes many missing values act as a hindrance while getting the correct information from a dataset. We can easily remove the missing values, but sometimes we need to fill these values depending on…
Most beginners don’t know how to predict values using a machine learning model. What they do is train a model and check its accuracy and they end the task. But before you complete it, you should test how the model…
Video game sales analysis is a popular problem statement on Kaggle. You can work on this problem to analyze the sales of more than 16,500 games or you can also train a machine learning model for forecasting video game sales.…
Working on machine learning projects can make you an expert in machine learning. As a beginner, you only work on projects that are very common in the data science community. But if you want to become an expert, you have…
Python is a very popular programming language among the data science community because it has many libraries and frameworks for working on different types of data. Sometimes we need to use machine learning algorithms on images rather than a textual…
Clustering is a machine learning technique that is used to group unlabeled data points so that the data points present in a group are based on similar functionality. If you are looking for some data science case studies on clustering,…
While solving problems based on classification with machine learning, we mostly find datasets made up of categorical labels that cannot be processed by all machine learning algorithms. So, if you want to learn how to handle categorical data in machine…
Regression is a machine learning technique used in finance, investing, and other related fields to determine the relationship between a dependent variable and a series of independent variables. Simply put, when we want to predict the future values of a…
Dogecoin is the reason for the recent drop in bitcoin prices. The price of Dogecoin is currently very cheap compared to bitcoin, but some financial experts, including Tesla’s CEO Elon Musk, claiming that we will see a rise in the…
If your Python code displays an error message instead of showing you the results you want, it means there are errors or bugs in your code. These messages can be difficult to understand, but they tell you exactly the types…
Using a for loop over a list of values is as easy as looping through a variable, but if you want to learn how to loop over more than one list in Python, this article is for you. In this…
Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain technical skills you need to become a Data Scientist. So in this article, I’m going to…
Perceptron is one of the simplest architecture of Artificial Neural Networks in Machine Learning. It was invented by Frank Rosenblatt in 1957. In this article, I will take you through an introduction to Perceptron in Machine Learning and its implementation…
Currency exchange is one of the biggest financial markets. Currently, 1 United States dollar is equivalent to 73.02 Indian rupees. Many factors affect exchange rates such as economic, political and even psychological factors. The prediction of the currency exchange rate…
Working on case studies is one of the best practices that will help you improve your problem-solving skills as a data scientist. In this article, I’m going to introduce you to some of the best data science case studies based…
Have you ever thought about making an application where a user gives the name of a city and gets live weather updates about that city as an output? Well, in this article I am going to walk you through how…
Due to the intensive use of data in decision making, every business today needs a team of talented data science professionals. There are certain soft skills that you must have other than the technical skills to become a Data Scientist.…
When training a machine learning model, it is very important to understand the bias and variance of predictions of your model. It helps in analyzing prediction errors which help us in training more accurate machine learning models. In this article,…
A neural network is a subset of machine learning that mimics the workings of a human brain while solving a complex problem based on deep learning. Neural networks are inspired by neurons found in the human brain. In this article,…
Forecasting sales is a difficult problem for every type of business, but it helps determine where a business should spend more on advertising and where it should cut spending. In this article, I will walk you through the task of…
Both PyTorch and TensorFlow have been used in industry for a long time. These two frameworks are the best in the features they provide for deep learning. So what should you learn? In this article, I’ll walk you through what…
When working on regression-based machine learning problems, sometimes we find that several independent features correlate not only with the dependent features but also with each other. This is what multicollinearity means. In this article, I’ll take you through an introduction…
Data visualization helps to understand the data you are working on. Data is a collection of numbers, and we humans can better understand the relationship between characteristics by visualizing them rather than simply comparing numbers. In this article, I’ll walk…
Kernel PCA is one of the variations of principal component analysis in machine learning that uses kernel methods to perform the initially linear operations of principal component analysis. In this article, I will take you through an introduction to Kernel…
Web Scraping means collecting or download any kind of content or data from a website. Most of the popular websites have their API that allows you to scrape data and Python has also many web scraping libraries that allows you…
A treemap is used to visualize hierarchical data as a set of nested rectangles. It is a data visualization tool for displaying data structured in a tree structure using nested rectangles. In this article, I’ll walk you through how to…
The use of deep neural architectures instead of the classic machine learning algorithms to train bigger models that can mimic the human brain while solving complex problems that involve heavy computing is known as deep learning. In this article, I…
When we use deep neural architecture instead of classic machine learning algorithms, it’s nothing but deep learning. In this article, I’m going to introduce you to some of the best deep learning projects with Python that you should try as…
Gender Detection is based on the applications of computer vision. There are so many computer vision libraries in Python that we can use for the task of recognizing the gender of a human being. In this article, I will take…
The datasets that you find on the internet from various data sources are either created by companies and organizations or are collected from websites. You must have scraped data from web pages by using the Python libraries, but may have…
Whenever we want to solve the same problem on a new dataset with the same features that we solved before then we can use the same machine learning model that we trained earlier. But to use the same model again…
There are a lot of rumours around you about the coding interview at Google. It may be difficult to crack it, but it’s not entirely different from coding interviews at other tech companies. In this article, I’ll walk you through…
We can use the style functions built into the pandas library in Python to colour a DataFrame. It helps you easily understand different types of values without even visualizing them. In this article, I’ll walk you through how to colour…
We usually train a machine learning model to produce a single value or a single label as the output. But when the number of output classes is greater than one, this is the problem of multiclass classification. One-vs-all and One-vs-one…
Counting objects in an image is the task of computer vision. There are a bunch of computer vision libraries in Python that you can use for this task. But in this article, I will take you through a very simple…
Most of the datasets that you find from different data sources on the internet are created by collecting data from websites. Using the GoogleNews API in Python, we can scrape trending updates based on any keyword or country. In this…
An end-to-end machine learning project means building a machine learning application that takes input at the start and provides a solution at the end based on the user input. In this article, I’m going to introduce you to some of…
Principal Component Analysis (PCA) is a dimensionality reduction algorithm used to reduce the dimensionality of a dataset. Sparse PCA is one variation of PCA that can exploit the natural sparsity of data while extracting the principal components. In this article,…
In unsupervised machine learning, the training data is not labelled and here you have to find clusters to detect the similarities between different data points. In this article, I’m going to introduce you to all the unsupervised machine learning algorithms…
While Loops provides a way to code general loops in any programming language. A while loop is typically used to repeatedly execute a block of code until the given condition becomes False. In this article, I will present a tutorial…
Apple’s new M1 chipset offers a powerful processor for every task. It has the most advanced neural engine which offers up to 11 times better performance for machine learning compared to the older MacBooks. So, is the new MacBook M1…
TextBlob is a Python library that can be used to process textual data. Some of the tasks where it is good to use are sentiment analysis, tokenization, spelling correction, and many other natural language processing tasks. In this article, I’ll…
Swapping variables means assigning the value of variable a to variable b and vice versa. We have so many algorithms in computer science for swapping the values of two variables with each other, so in this article, I’m going to…
While working on a data science project, we are analyzing a dataset based on various features and patterns to gain insight or train a machine learning model that can add value to an organization. As a beginner, you must be…
In machine learning, customer segmentation is based on the problem of clustering which means finding clusters in a dataset with the same features. Customer segmentation can help a business focus on marketing strategies to increase profits and overall customer satisfaction.…
The use of big datasets in machine learning has grown exponentially since the first release of Apache Hadoop. Big Data has played a major role in the use of machine learning in applications such as mass clustering and collaborative filtering.…
Quartile deviation means the absolute measure of dispersion. It is the product of half the difference between the upper and lower quartiles (Quartile Deviation = (Q3 – Q1)/2). In this article, I will take you through how to calculate quartile…
AutoML helps solve advanced machine learning problems, even if you don’t have a lot of knowledge about data science and machine learning concepts. A startup can use AutoML to save time and money, while a data scientist can use AutoML…
Polynomial regression is a machine learning algorithm that is used to train a linear model on non-linear data. Sometimes your data is much more complex than a straight line, in such cases, it is not a good option to train…
Games are computer programs or software applications that contain a bunch of instructions. While Python is not a popular programming language for game development, it can nonetheless be used to create many different types of games. So in this article,…
Password Authentication is the process of checking the identity of a user. Almost every online platform today makes sure that they only give access to the real user which can be only possible by asking for a password while a…
In Machine Learning, binary classification consists of distinguishing two classes. For example, classifying messages as spam or not as spam. We have a bunch of machine learning algorithms for the binary classification task, so to help you choose the best…
You must have visited to check the stock prices of any company on Google and found a complete chart that represents the latest and the historical stock prices. You can also create such a real-time stock price data visualization system…
The Python standard library contains over 200 modules. Being an open-source programming language everyone can contribute to Python by creating more packages, libraries and modules. But some modules comes preinstalled with Python which collectively is known as the Python standard…
A graphical user interface (GUI) helps to interact with an application by providing a better user experience. You can think of a GUI as the interface of a website that helps you interact easily. To build your own GUI application…
Writing a program to check whether a number is even or odd is one of the first algorithms we write when learning a new programming language. In this article, I’ll walk you through how to write a Python program to…
Many machine learning algorithms can be used to solve complex problems that require a large amount of data with a large number of features, but deep learning can outperform all algorithms. So to understand where we can use deep learning…
A company should always set a goal that should be achievable, otherwise, employees will not be able to work to their best potential if they find that the goal set by the company is unachievable. The task of profit prediction…
Unsupervised learning is based on problems where there is no supervisor to explain to you about the data unlike supervised learning, i.e. when the data is not labelled. When the problems are based on how you can group items based…
Creating patterns by using a programming language is not less than designing an algorithm for a beginner. One of the easiest patterns that you can create is a pyramid that looks like a triangle. So to get your hands on…
Python is such a popular programming language among data scientists because of its beginner-friendly syntax and the support of libraries that we get for all data science tasks. So there are some of the Python libraries you need to learn…
Approximately 3.5 billion searches are performed on Google daily, which means that approximately 40,000 searches are performed every second on Google. So Google search is a great use case for analyzing data based on search queries. With that in mind,…
In machine learning, supervised learning is characterized by the concept of a supervisor whose goal is to provide an accurate measure of error that is directly comparable to the output values. If you don’t know in what kinds of problems…
There are so many card games today where you choose a card at random from a deck of cards to create an event. This is the feature of every card game today because you have to choose a card at…
A lot of computer science students have C++ as their main programming language but when they want to start with machine learning they learn languages like Python or R. So is C++ not a good language for machine learning? Yes,…
When using a machine learning algorithm, it is very important to train the model on a dataset with almost the same number of samples. This is known as a balanced class. We need to have balanced classes to train a…
When working on a data science task, sometimes the dataset you are using has features with very complex names, so to keep things simple we can rename the columns with complex names. So in this article, I will walk you…
Descriptive analysis is used to understand the past and predictive analysis is used to predict the future. Both of these concepts are important in machine learning because a clear understanding of the problem and its implications is the best way…
Working on some machine learning projects is one of the most useful strategies you can use as a beginner to learn machine learning. As a beginner, you are out of ideas about how to start with a project or which…
Eggs Catcher is a classic game where the goal is to catch as many eggs as possible. In this game, every egg you catch will increase your score and if you miss 3 eggs you will lose the game. In…
To sort an array we need to arrange the elements of the array by comparing each element efficiently. The merge sort algorithm uses the divide and conquer approach to sort an array by making the least number of comparisons between…
There are so many programming jobs that can pay you a really good amount of money no matter what company you work for. Most of these programming jobs can also pay a very good amount as a freelancer. So, in…
Uber has been a major source of travel for people living in urban areas. Some people don’t have their vehicles while some don’t drive their vehicles intentionally because of their busy schedule. So different kinds of people are using the…
There are so many machine learning algorithms for all machine learning problems like classification, regression, and clustering. You may be familiar with more than 3-4 algorithms for each task, but the problem every newbie faces is how to select a…
A choropleth map is a shaded map where the intensity of the colour indicates the intensity or quantity of a particular feature. In Data Science, the choropleth maps are used to visualize the distribution of a feature in a geographical…
Classification means categorizing something from a group based on some features. For example, spam detection is one of the most popular tasks of classification in the machine learning community, here we need to classify emails as spam or not spam.…
AutoTS is an automatic machine learning library in Python which is developed for the task of automatic time series forecasting. You can use this library for any task of time series forecasting such as predicting the stock prices for the…
Dijkstra’s algorithm is also known as the single-source shortest path algorithm. It is used for finding the shortest path between the nodes of a graph where the cost of each path is not the same. In this article, I will…
I recently shared an article on how to prepare for a coding interview, but sometimes you want to prepare for a coding interview for a specific company that has standards on what they expect from their employees. One of these…
Text analysis is one of the major applications where machine learning algorithms are used. The process of converting textual data into numerical data is known as the process of vectorization in machine learning. It is an important task because you…
Data Scientist is one of the best jobs in the IT industry today. So many professionals capable of coding are considering shifting their careers to become data scientist. If you can code or want to learn to code, you can…
In graduate studies, many students find it difficult to achieve good grades because they do not get much support in higher education courses compared to the support that students receive in schools. We can use machine learning for the student…
If you are from a statistical background, it will be easier for you to understand and analyze your data. Every time we get the data, we need to explore it to understand the features and distributions of data. Understanding the…
Stylecloud is a Python package that helps in creating beautiful word clouds in just a few lines of code. You can use this Python package to create unique and amazing word clouds from your textual data in just two lines…
If you are a beginner in data science, then you must be confused about which datasets you should use for improving your data science skills. If you have never worked on any dataset before then you should only choose datasets…
Do you know how you get a unique OTP every time you go through the payment process in an online transaction? Each company has its ways of creating an OTP for verification, but most of the companies have their systems…
C++ is one of the best programming languages for game development. Being an interpreter based programming language, Python is not much preferred for game development. But still, you can try to build some basic games with Python to improve your…
There was a time when Covid-19 got out of hand. Even after the lockdown, this still resulted in a rapid increase in cases as in some countries cases were brought under control but the economy was sacrificed. In such a…
A recommendation system is one such data science application that is used by almost all companies based on products and services on their website and software applications. In this article, I will introduce you to 4 data science projects on…
Countryinfo is a Python module that helps to extract information about any country about the properties of that country, including ISO information, states, languages spoken, currencies, and various other information. In this article, I will introduce you to a tutorial…
Computer vision is a subset of artificial intelligence where the goal is to process an image and then give a machine the ability to see what’s inside that image using machine learning algorithms. In this article, I will introduce you…
The NLTK library in Python is one of the best Python libraries for any natural language processing task. It provides so many useful functions for word processing including tokenization, stemming, tagging, parsing and many other tasks that we need to…
A heatmap is used to visualize the relationship between the features to analyze correlation, variance, anomalies, and various other patterns between features in a dataset. In this article, I’ll walk you through a tutorial on how to visualize a heatmap…
The process of a coding interview remains the same in most of the big tech companies and MNCs. In most of the coding interviews, you find problems based on the concepts of data structures and algorithms to check your problem-solving…
WhatsApp is one of the most used messenger applications today with more than 2 Billion users worldwide. It was found that more than 65 billion messages are sent on WhatsApp daily so we can use WhatsApp chats for analyzing our…
The Tqdm library in Python is used to add progress bars that show the processing behind the execution of the program. In this article, I will walk you through a tutorial on Tqdm in Python to display the progress bars…
A lot of people often get confused between the job roles of Data Scientists and Machine Learning Engineers. Both these professions are concerned with working with data and machine learning algorithms, so what’s the difference between them? In this article,…
There are so many resources on the internet to learn machine learning in the form of courses, videos, blogs, and books. Choosing the best resources to learn machine learning from the available resources is a difficult task for any newbie.…
In Machine Learning, the AUC and ROC curve is used to measure the performance of a classification model by plotting the rate of true positives and the rate of false positives. In this article, I will walk you through a…
A radar plot is also known as a spider plot or a star plot. It is used to display multivariate data as a two-dimensional visualization of quantitative features that are represented on axes coming from the centre. In this article,…
If you are learning data science, you must have seen data scientists working with Jupyter notebooks. So what is a Jupyter notebook and why is it used for data science? In this article, I will take you through everything you…
Each country has a financial budget that describes the government’s spending capacity in different sectors of the economy. In this article, I will walk you through the task of financial budget analysis with Python. What is a Financial Budget? There…
Real-time machine learning projects are the type of projects where a user can interact and get real-time output based on user actions rather than running the program over and over after each action. In this article, I will introduce you…
The task of language detection comes into use when you are working on a very large dataset that contains data in different languages. Suppose you want to create an even driven program where the final output depends on the language…
When you learn data science, you should always learn it so that you can use your data science skills in any field. But sometimes you find that you can put all of your interest into one area which is known…
Scikit-learn is one of the most useful Python libraries for machine learning. All the concepts that we study about machine learning theoretically can be implemented by using the Scikit-learn library in Python. In this article, I will take you through…
Language translator is one of those apps that helped me a lot while studying the German language during my graduation. Google Translator API helps us to create our translator using Python. In this article, I will walk you through how…
When a machine learning model performs very well on training data, but poorly on test data, it is referred to as overfitting. Likewise, if the model is performing poorly in both training and testing datasets, it is referred to as…
Ted talks are a good source to learn and take inspiration from. These days every platform is having a recommendation system to provide a better user experience. Most of the applications collect data to recommend similar content according to the…
Pypolars is an alternative to the Pandas library in Python which is used for working with data while working on a data science task. We use Pandas from reading a dataset to preparing the dataset for a machine learning model.…
We see a lot of career transitions to data science today, but some students still worry that if they start learning data science and at some point, they start to have difficulties in understanding the data science concepts. Most non-coding…
Histogram and density plots are a good way to quickly visualize and analyze the distribution of the dataset. You may be familiar with histograms, but not much with density plots. In this article, I’ll walk you through how to visualize…
A lot of people think of a data product as a physical product like Amazon Alexa that uses data, but that’s not true at all. A data product is an output produced from statistical analysis that adds value to an…
Unicode Characters can be defined as the smallest component of any language that has a semantic value. They are the combination of special values which represents special characters. In this article, I will take you through how to remove Unicode…
Data Science is a combination of data mining and statistics. With the increase in the use of data in decision making, there is an increase in so many career opportunities in the field of Data Science. So, in this article,…
Stop Words removal is an important step while working on any application of natural language processing. Stop Words are words that carry very little or no significant semantic context in a piece of text which is why such words need…
In Machine Learning, we sometimes use models trained and developed by other developers for some complex tasks. These models are known as pre-trained model. It is not a bad idea to use a pre-trained model for solving a similar problem…
Tesla is an amAmericanlectric vehicle company whose aim is to accelerate the world’s transition towards sustainable energy. A few days back the rise in the stock prices of Tesla made Elon Musk the richest person in the world. Predicting stock…
The ease of writing code in Python makes it one of the most popular programming languages. It has been accepted by industries around the world for many tasks, making it a very promising programming language for more career opportunities. So,…
Python is one of the most favourite programming languages in the coding community because of its readability and the support of libraries. Being an open-source programming language Python has more than 235000 libraries and packages. We generally need to import…
The role of a Data Scientist and a Data Analyst sometimes sounds similar. Both of these job roles are required to work with data but they provide different results. So the difference between both these jobs is based on their…
A Chatbot is an application that interacts with users like a human. Chatbots are typically used to resolve the most common queries that a business receives from its customers daily. In this article, I’ll walk you through how to create…
The demand for data scientists and machine learning engineers has led to great competition for your first job in data science. It is believed that someone with a very good knowledge of the fundamentals of data science is more likely…
Finding the maximum profit while buying and selling stocks in the stock market is a great question for coding interviews at companies based on financial services. Here you are given an array of stock prices and transaction fees and what…
Iterators are functions that call values of a data structure in a sequence one after another and Iterables are objects which can be looped over by using an iterator. In this article, I will take you through what are Iterables…
Recommendation Systems are one of the widely used applications of Data Science in most companies based on products and online services. Amazon is a great example of such companies. Being an online shopping website Amazon needs to generate personalised recommendations…
Natural Language Processing or NLP is the field of Artificial Intelligence that empowers a computer system to read and understand human languages. In this article, I will take you through a complete roadmap on how to learn Natural Language Processing.…
Pandas Datareader is a Python package that allows us to create a pandas DataFrame object by using various data sources from the internet. It is popularly used for working with realtime stock price datasets. In this article, I will take…
An End to End machine learning model follows the complete lifecycle of a machine learning model which means to first collect data, then prepare the data according to the patterns found in the dataset, then train and evaluate the model…
If you have completed a data science course your next step is probably to create your first data science project. A data science project should not look like a program or just a piece of code, it should look like…
Data Structures and algorithms are the topics of computer science that every programmer should know no matter what aspect of programming interests you. It is believed that if you are having a good knowledge of data structures and algorithms then…
Both tensor and array are the fundamental data structures that we use in training machine learning algorithms. Tensors are like arrays, both are data structures that are used to store data that can be indexed individually. In this article, I…
Streamlit is an open-source Python framework used to deploy machine learning models in beautiful web applications in just a few lines of code. You don’t need any knowledge of web development to deploy machine learning models with this framework. In…
After training and evaluating a machine learning model, the next step is to deploy the model. As a Data Scientist, you don’t need to build a complete software or web application to deploy your machine learning models, but you still…
Python is a very easy and versatile programming language. It offers libraries and modules for almost every task that you can think about. While working with data using python sometimes it becomes difficult to present it in a tabular format…
Natural Language Processing (NLP) is the field of Artificial Intelligence which means to train a computer system or any machine to understand human languages. NLTK and spaCy are two of the most used Python packages for the tasks of NLP.…
The way birds inspired humans to create an aeroplane the same way a human’s brain inspired humans to build intelligent machines. Neural networks were inspired by biological neurons found in the brain of a human. In this article, I will…
Data analysis is the process of collecting data, creating visualizations, interpreting the results using reporting tools, and then evaluating the results to understand if it will solve a particular business problem. A data analyst is a good career option, as…
Using correct grammar is very important in any language. The role that syntax plays in a programming language is what grammar plays in any language. In this article, I will walk you through the grammar correction task using Python. How…
Data science is one of the hottest jobs of this century. There are so many career opportunities for you today if you know how to work with data. But Data Scientists often face many challenges if they’re not in big…