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…
The BIRCH is a Clustering algorithm in machine learning. It stands for Balanced Reducing and Clustering using Hierarchies. In this article, I will take you through the concept of BIRCH Clustering in Machine Learning and its implementation using Python. BIRCH…
In Machine Learning, classification means predicting the class of data points. In simple words, when we are predicting the category of the target label using machine learning algorithms then this is known as classification. There are mainly 3 types of…
Being a computer science student you must have gone through the concept of sorting algorithms. In Python, we use sorting algorithms to sort items in a list. But what if we want to sort NumPy arrays? In this article, I…
As a fresher in data science, you must be thinking about which companies will be best for you to apply for your first data science job. As a fresher, we aim for companies which can give us a great experience…
Bankruptcy is a state of insolvency when a business or legal person cannot repay debts to creditors. Bankruptcy is primarily imposed by court order when initiated by the debtor. In this article, I will walk you through how to train…
Data science is one of the best career options of the 21st century. You need to learn many skills to become a Data Scientist like Python, SQL, data visualization and many more. In addition to these skills, there are many…
Counting occurrences of a character in a string means counting all substrings of a character from the input string. This is one of the important questions you are asked in the coding interviews. In this article, I’ll walk you through…
Most people new to Python often don’t know which IDE or code editor to use for coding. There are so many IDE and code editors available today that give you so much more functionality than just running your programs. So,…
Most of the popular coding interview questions are based on the concepts of data structures and algorithms. It doesn’t matter whether you want to become a Data Scientist, Web Developer, or any other IT profession that interests you, it is…
Data science is one of the best career options in this century. To get started with data science, you need to learn linear algebra, math, statistics, and most importantly a programming language. Python is one of the best programming languages…
The Sequential search algorithm is a searching algorithm. To implement this algorithm, we start by searching for the target value from the beginning of the array and continue till we find the target value. In this article, I will take…
Time series analysis is based on analyzing the trends in the data. It consists of both modelling and forecasting. In this article, I will take you through the 4 best data science projects on time series analysis solved and explained…
Sentiment Analysis is an application of natural language processing that is used to understand people’s opinions. Today, many companies use real-time sentiment analysis by asking users about their service. In this article, I’ll walk you through real-time sentiment analysis using…
Computer vision is a subfield of artificial intelligence that is used to train a computer to see, process, and identify what is inside an image or video, just like humans. In this article, I will take you through a complete…
An Anagram is a word or phrase that forms a different word or phrase when the letters of a word are rearranged. For example, the words “despair” and “praised” are anagrams. In this article, I’ll walk you through how to…
Semi-supervised learning is a combination of supervised and unsupervised machine learning. The issues here are based on datasets where the dataset will contain many unlabeled instances and a few labelled instances. In this article, I will take you through what…
PyCaret is an open-source machine learning library that helps automate the entire process of training a machine learning model. From model selection to training and testing, PyCaret is a great tool that can be used in machine learning. In this…
Having a strong portfolio is all you need to get a call for your first data science job interview. To build a strong portfolio you need to focus on building data science projects on practical use cases and you can…
Recursion means solving problems by breaking down a complex problem into smaller problems and then solving it step by step. In this article, I will walk you through the implementation of the recursive binary search using Python, which means to…
Python is one of the most popular programming languages. It is mainly used in data science, machine learning, and web development. There are so many libraries and frameworks in Python to get started with web development, but learning them step…
The price of a product is the most important attribute of marketing that product. One of those products where price matters a lot is a smartphone because it comes with a lot of features so that a company thinks a…
Linear and logistic regression are excellent statistical techniques used as machine learning algorithms to understand the relationship between features and labels in machine learning. In this article, I will take you through the difference between linear regression and logistic regression…
Hash tables are like dictionaries in Python, they are data structures that are used to store and retrieve a large amount of data in the format of keys and values. In this article, I will introduce you to the concept…
Web scraping means extracting data from the Internet through which we can instantly access data from any publicly accessible web page. There are so many Python libraries that automate the web scraping process. In this article, I’ll introduce you to…
Machine Learning Project on Spotify Recommendation System using Python
A queue is a data structure where we insert items from the back and remove items from the front. It follows the principle of First In, First Out data structures. In this article, I’ll walk you through the implementation of…
Validating a binary search tree is a great question for coding interviews. It means writing an algorithm to check whether a binary tree is a binary search tree or not. In this article, I’ll walk you through how to write…
Stacks are abstract data types that are commonly used in almost all programming languages. A stack is a data structure that simulates real-world stacks such as a deck of cards, a stack of plates, etc. In this article, I will…
Feature Scaling means resizing features so that no feature dominates other features. In machine learning, we use the concept of feature scaling to make sure that all the features we use to train a machine learning model are at a…
Plotting annotations while viewing graphs is considered a good practice because it makes your graphs self-explanatory. Sometimes it can be difficult to understand which data points indicate which characteristic especially in a scatter plot. In this article, I will introduce…
Cosine similarity is a method used in building machine learning applications such as recommender systems. It is a technique to find the similarities between the two documents. In this article, I’ll give you an introduction to Cosine Similarity in Machine…
In Machine Learning, clustering involves identifying similar instances and then assigning them to similar clusters or groups of instances. It is an unsupervised machine learning technique. In this article, I’ll give you an introduction to the most popular clustering algorithms…
In this article, I will take you through how to write a Python program to check whether the given alphabet is a vowel or not. Vowels are one of the categories of speech sounds. We have all studied about them…
If you are looking to work on a data science task where you want to analyze your social media data then you must be worried about how to collect data from your social media accounts. So, in this article, I…
You must have heard people saying you can choose any programming language to code for interviews. Is it true? If this is true, does every company follow this? I’ll tell you 😃. So, in this article, I will tell you…
In machine learning, the mean squared error (MSE) is used to evaluate the performance of a regression model. In regression models, the RMSE is used as a metric to measure model performance and the MSE score is used to evaluate…
A recommendation system is typically used by product-oriented companies. Some of the big eCommerce websites like Amazon and Myntra continue to update their recommendation systems to provide a better user experience. In this article, I will introduce you to 2…
Formatting dates is one of the topics that every newbie faces when working with Python. When working with time-series data, formatting data and time is one of the most important topics for you. In this article, I’ll walk you through…
The process of collecting raw data and then preparing to explore and identify patterns to understand them so that they can be used for further decision-making and machine learning model training is called data analysis. In this article, I will…
Palindrome words are those words that are read the same way from left to right as from right to left. Writing an algorithm to check whether a word is a palindrome or not is an important question in coding interviews.…
Machine learning is one of those areas that every business invests in today. The complete lifecycle of a machine learning application begins with data collection and ends with model deployment. In this article, I’ll walk you through what model deployment…
A user’s IP address is defanged to prevent the user from clicking on a malicious link. The problem with Defanginig IP addresses is one of the common coding interview questions for someone who is planning data science. In this article,…
Machine learning helps a business solve complex problems where we don’t program an application but train it so that it can learn to react in different kinds of situations. In this article, I’m going to introduce you to some machine…
A natural number greater than 1 is a prime number if that number has only two natural divisors; one is the number itself and 1. In this article, I will tell you how to check whether the number is prime…
Clustering is used to divide data into subsets, and classification is used to create a predictive model that can be used to categorize the values of future data points. In this article, I’ll walk you through the difference between clustering…
The principal component analysis (PCA) is a dimensionality reduction algorithm. This is one of the easiest and most intuitive ways to reduce the dimensions of a dataset. In this article, I will walk you through the Principal Component Analysis in…
Solving a Data Science case study means analyzing and solving a problem statement intensively. Solving case studies will help you show unique and amazing data science use cases in your portfolio. In this article, I’m going to introduce you to…
A human can express his emotions in any form, such as face, gestures, speech and text. The detection of text emotions is a content-based classification problem. In this article, I will take you through how to solve the problem of…
Small and medium-sized businesses typically have one or two data scientists. While the big tech companies have more data scientists who are broken down into categories based on the tasks they’re best at. So. In this article, I’ll walk you…
Dimensionality reduction is used to reduce the dimensions of a data set to speed up a subsequent machine learning algorithm. It removes noise and redundant features, which improves the performance of the algorithm. In this article, I will introduce you…
To learn data analysis, we usually start by learning Excel as the first step as it has always played a major role in every task as a data analyst. But when it comes to big data, Python comes in with…
The Breadth-first search algorithm is a graph algorithm which is used to traverse a graph to find a particular node to ensure that we have visited all the nodes by crossing a layer at each step. In this article, I…
The sequence of steps we take to achieve the desired task is known as an algorithm. In programming, when we create and execute a plan by writing codes to solve a problem, those plans are nothing more than an algorithm.…
The K-Means Clustering is a clustering algorithm capable of clustering an unlabeled dataset quickly and efficiently in just a very few iterations. In this article, I will take you through the K-Means clustering in machine learning using Python. K-Means Clustering…
When first starting with machine learning, a beginner faces most of the problems associated with choosing a programming language. As a computer science student, we learn languages like C++ and Java which are the best for obtaining placements. But for…
Machine Learning Pipelines helps in automating the process of the lifecycle of a machine learning model. It automates the lifecycle of data validation, preprocessing, training and deployment on a new dataset. In this article, I will take you through Machine…
Python is one of the best programming languages. Due to its readability and beginner-friendly nature, it has been accepted by industries around the world. So to master Python for any field you have to work on projects. In this article,…
Collaborative filtering is a recommendation system method that is formed by the collaboration of multiple users. The idea behind it is to recommend products or services to a user that their peers have appreciated. In this article, I will introduce…
Machine Learning Project on Hotel Recommendation System with Python
Developing problem solving skills in programming is very important because the success of any task assigned to you depends on how accurately you define the problem to design and implement a solution. So in this article, I will tell you…
A pie chart is created by dividing a circle into two or more sections depending on the number of entities we want to visualize. It is used to analyze the proportion of each entity among all the entities. In this…
Gradient Descent is an optimization algorithm used to train a machine learning model differently. It is best suited for problems where there are a large number of features and too many samples to fit in the memory of a machine…
When two or more features are related to each other in such a way that if the value of 1 features increases, the value of the other feature also increases or decreases. This is what correlation means. In this article,…
Passive Aggressive Classifier belongs to the category of online learning algorithms in machine learning. It works by responding as passive for correct classifications and responding as aggressive for any miscalculation. In this article, I will walk you through what Passive…
Most recommendation systems use content-based filtering and collaborative filtering to show recommendations to the user to provide a better user experience. Content-based filtering generates recommendations based on a user’s behaviour. In this article, I will walk you through what content-based…
Every data science newbie faces some challenges in finding datasets and ideas that they can build a good data science project on. So how do you come up with ideas for mining a new data science project? The answer is…
Introduction to Confusion Matrix in Machine Learning
Data Science Project on Customer Personality Analysis with Python
In machine learning, the Naive Bayes algorithm is based on Bayes’ theorem with naïve assumptions. This makes it easier to train a model by assuming that the features are independent of each other. In this article, I will give you…
Keywords play an important role when reading a long text to understand the subject and context of the text. Search engines also analyze an article’s keywords before indexing it. In this article, I will walk you through how to extract…
Data science is one of the best career options that doesn’t require any higher-level degrees or qualifications. Well, it’s good to have masters in any field related to business or analytics but trust me it’s not required. So how do…
By using Python libraries we save a lot of time, which is why Python is such a popular programming language for data science and machine learning. In this article, I’m going to introduce you to a tutorial on Automatic EDA…
Exploratory Data Analysis (EDA) is a data analysis technique where we understand the data precisely. Essentially, it means understanding what’s in the data we’re working with. In this article, I’ll walk you through what exploratory data analysis is and what…
You must have played the caterpillar game on your cell phones when we are not introduced with smartphones. It’s a game about the hungry caterpillar that grows after every meal. In this article, I’ll walk you through how to create…
Working on Python GUI projects is a great way to become an expert in Python because first designing logic and then representing it as a graphical user interface teaches us a lot. In this article, I will introduce you to…
The CatBoost algorithm is based on Gradient Descent which is a powerful technique for classification and regression problems in Machine Learning. In this article, I will introduce you to the CatBoost algorithm in Machine Learning and its implementation using Python.…
DBSCAN Clustering Algorithm in Machine Learning using Python
The ROC and AUC curve in Machine Learning is used to measure the performance of a binary classification model. In this article, I will explain to you what the ROC and AUC curve is in machine learning. ROC and AUC…
Multiclass classification means a classification problem where the task is to classify between more than two classes. Multilabel classification means a classification problem where we get multiple labels as output. In this article, I will explain the difference between multiclass…
Python is a versatile programming language that is loved by web developers, data scientists, and newbies around the world. In this article, I will walk you through how to learn Python step by step. Why Python is Popular? Python is…
Android is an operating system developed by Google for smartphones and tablets which are developed by all manufacturers. Android Development includes a Software Development Kit (SDK) for programming and assembling multiple modules to create smart Android apps. In this article,…
Google Sheets is an online spreadsheet service from Google that lets you create spreadsheets in the cloud. Reading Google Sheets is different from reading a Microsoft Excel or CSV file using Python. So in this article, I’m going to walk…
With the use of machine learning, we can work on tasks that are too complex to solve by writing fixed programs. This is what makes machine learning even more interesting because understanding machine learning means understanding how to make our…
Social Media Provides a lot of data that can be used to find patterns and make predictions by analyzing use cases of social media applications. In this article, I’m going to introduce you to machine learning projects on social media…
Functional programming means handling a large chunk of code by defining your own functions. It means comparing a problem to a set of functions. In this article, I’ll walk you through what functional programming in Python is. What is Functional…
Machine Learning Project on Facebook Posts Sentiment Analysis with Python
Regular expressions are a set of characters called patterns that are used to find a substring in a given string. Simply put, this is a technique used to detect substrings in an input string. In this article, I’ll walk you…
Steps You Need To Get a Data Science Job
In classification algorithms, a computer is programmed to specify to which category an entry belongs. Object detection is one of the problems where a classification algorithm can be used. In this article, I will introduce you to all the machine…
To understand everything about machine learning, you need to understand what machine learning algorithm is. In this article, I will explain what machine learning algorithms are. Machine learning algorithms are a type of statistical techniques applied to data using a…
An invoice is a bill that serves as proof of a transaction between a buyer and a seller. In this article, I will walk you through how to create an invoice with the Python programming language. Create an Invoice with…
There are so many types of mobile operating systems in the market today, but there is a huge competition between iOS and Android devices. In this article, I will take you through what is the best programming language for iOS…
Quicksort is a sorting algorithm that selects an item and rearranges the array forming two partitions so that all items below the item come before and all items above come after. The algorithm is then used recursively to the parts…
Predicting stock prices is one of the most widely used areas where machine learning is used. This is an unpredictable area as there are so many factors that can affect the stock price at any time. In this article, I…
Introduction To The Fundamentals of Machine Learning
Probability is a mathematical concept that signifies the uncertainty of an event. It provides a method of calculating uncertainties to derive new uncertain events. In this article, I’ll explain why probability is important for machine learning. How Probability Is Used…
A currency converter is an application used to convert the value of one currency into another currency. In this article, I will take you through how to write a program to create a real-time currency converter with Python. How To…
Designing a Maze Solver with Python
Best Machine Learning Books for Interview Preparation
Both data science and business intelligence are concerned with converting raw data into business insights so that higher-level managers can make the right decisions at the right time. So what’s the difference between them? In this article, I will explain…
Cryptography means changing the text of a message so that people who don’t know your secret never understand your message. In this article, I will create a GUI application to encrypt and decrypt using Python. How to Encrypt and Decrypt…
The Support Vector Machine is a very powerful and flexible class of supervised machine learning algorithms for classification and regression tasks. In this article, I will introduce you to a machine learning tutorial on Support Vector Machine using Python. Support…
In the data-driven industry, people often say that deploy your machine learning model in the cloud, what it is, and how machine learning models work in the cloud. In this article, I’ll walk you through how machine learning works in…
Have you ever thought about how to make apps like the talking cat and other types of screen pets? Guess what, with the help of Python we can create our screen pets that can change their emotions with every click.…
In any advertising agency, it is very important to predict the most profitable users who are very likely to respond to targeted advertisements. In this article, I’ll walk you through how to train a model for the task of click-through…
You must have heard and used so many libraries, packages, and modules in Python. You should have started most of your programs by importing them. In this article, I’m going to give you an introduction to libraries, packages, and modules…
Creating graphics using the Python programming language is a very simple task. The turtle module in Python provides so many features that we can even build a robot using it. In this article, I will walk you through how to…
Forecasting energy consumption can play an important role in an organization to improve the rate of energy consumption by making the right decisions at the right time. In this article, I will walk you through the task of Energy consumption…
Object-oriented programming is a programming technique that means writing programs to solve a particular problem. In this article, I will give you an introduction to object-oriented programming. What Is Object-Oriented Programming? If I don’t want to get too technical, in…
In this article, I’ll walk you through how to make a Lives game with Python. In this game, you have to guess the secret word letter by letter. If you guessed a letter incorrectly, you will lose a life. As…
FastAI is a Machine Learning library used for Deep Learning tasks. It helps by providing top-level components that can be easily used to achieve cutting edge results. In this article, I will walk you through a tutorial on FastAI in…
Many people believe that data science is primarily about ML and that the job of a data scientist is primarily to create and train ML models. Most people think like this because they don’t know what the difference is between…
Data Science Project on Best Streaming Service Analysis with Python
In the Python programming language, modules are sets of code that can be used to solve some very common coding problems. The use of modules in Python is that they provide fewer bits of code so that you can focus…
To be true, data science can be hard for you to learn, whether you are planning to enrol in a course or trying to learn it on your own, you may face challenges on your data science journey. So, in…
Machine Learning Project on Diamond Price Prediction Model using Python
5 Best Machine Learning Projects for Resume Solved and Explained with Python
You must therefore have seen the prediction of the next word on the keyboard of our smartphones which is most of the time precise. How does our keyboard predict the next word? In this article, I will walk you through…
Word clouds are one of the most common methods of representing the textual dataset in a graphical format. A word cloud can also be used for sentiment analysis by analyzing text. In this article, I’ll walk you through a tutorial…
Python is a popular text-based programming language. In Python, we write code by using words, abbreviations, numbers, and symbols. In this article, I’ll take you through why Python is such a popular programming language. Introduction to Python Python is one…
4 Most Important Python Libraries for Statistics
During the development of the C++ programming language, a new class based on input and output operations was implemented, which gave birth to the I/O streams in C++. In this article, I’ll introduce you to some important C++ interview questions…
Bitcoin Mining is very much related to auditing. It means verifying the legitimacy of Bitcoin transactions. In this article, I will explain to you how to do Bitcoin Mining with Python. What is Bitcoin Mining? Bitcoin mining is part of…
A password prevents others from accessing our system’s e-mails and other login information. In this article, I’ll walk you through how to create a password picker with Python to create safe and easy-to-remember passwords that will help your information to…
Have you ever used a typing test game to check your typing speed, you can even make a similar game using Python. In this article, I’ll walk you through how to build a typing speed test GUI using Python. Typing…
Machine Learning Project on Book Recommendation System with Python
In the C++ programming language, header files are text files that contain declarations and macros. By using the #include command, these declarations and macros can be used when writing a C++ program. In this article, I’ll give you an introduction…
The intensive use of data is helping to revolutionize the world. From the modern business enterprise to the lifestyle choices of today’s digital citizens, the use of data science helps us improve in every way. In this article, I’m going…
Create a Contact Book using Python programming language
Data Science Project on Netflix Data Analysis with Python
The Hangman game is very much like the popular number guessing game among programmers. In this article, I will take you through how to create a Hangman Game with Python. Understanding the Hangman Game In the hangman game, one player…
Text-Based Adventure Game is a very basic adventure game that any Python beginner can work on. In this article, I am going to walk you through how to make a very basic text-based adventure game with Python. What is a…
Machine Learning Tutorial on LightGBM Classifier
You must have seen services on the internet to create short URLs from long ones used in various places. Short URLs are easy to remember or type, so they are very popular in the field of digital marketing and promotions.…
MAD LIBS is one of the funniest word games in the world. Some would even call it one of the greatest puns ever. In this article, I’ll walk you through a simple task for beginners: Create a Simple Mad Libs…
Data Science Tutorial on Satellite Imagery Analysis
Python Projects with Source code solved and explained
Get Real-Time Weather Conditions with Python
Univariate and multivariate are two types of statistical analysis. In univariate statistics, we analyze a single variable, and in multivariate statistics, we analyze two or more variables. In this article, I’ll walk you through a tutorial on Univariate and Multivariate…
An acronym is a short form of a word created by long words or phrases such as NLP for natural language processing. In this article, I will walk you through how to write a program to create acronyms using Python.…
An alarm clock is a clock with a function that can be activated to ring at a time set in advance, used to wake someone up. In this article, I’ll walk you through how to write a Python program to…
An Email slicer is a very useful program for separating the username and domain name of an email address. In this article, I will explain how to write a program to create an Email Slicer with Python. Email Slicer with…
Machine Learning Project on Topic Modeling with Python
Machine learning is defined as the use of computational algorithms and statistics to learn from data without being explicitly programmed. It is a subset of artificial intelligence. In this article, I will take you through the complete Syllabus of Machine Learning…
Data Science Project on Covid-19 Vaccine Sentiment Analysis with Python
Do you think the most complex use of the random module in Python is random sampling? No, we can also generate random stories or anything beyond that using the random module. In this article, I’ll walk you through how to…
To create a password with Python, we need to create a program that takes the length of the password and generates a random password of the same length. In this article, I’ll walk you through how to write a Python…
Recognition of human activity is one of the active research areas in machine learning for various contexts such as safety surveillance, healthcare and human-machine interaction. In this article, I will walk you through the task of Human Activity Recognition with…
In this article, I’ll walk you through how to make a rock, paper, and scissors game with Python. In the rock, paper and scissors game our goal is to create a command-line game where a user has the option to…
The Dice Roll Simulation can be done by choosing a random integer between 1 and 6 for which we can use the random module in the Python programming language. In this article, I will take you through how to create…
Finding suitable candidates for a particular position is a difficult task, especially when you have received so many applications. It can increase the effectiveness of your team if you have the right candidate at the right time. This is the…
QR is short for Quick Response, and they are named so because they can be read quickly by a cell phone. They are used to take information from transitory media and put it on your cell phone. In this article,…
The great part of creating your own GUI apps is that you can customize them however you want. From text font to background colour, all features are available for customization. In this article, I will take you through how to…
The input() function of Python help us to give a user input while writing a program. But how to take multiple user inputs in the terminal? In this article, I will take you through how to take multiple user inputs…
A data scientist is now everyone’s dream job. First, ask yourself a question: do I want to become a data scientist? When you feel like learning new things from your inner gut, start following a learning path. In this article,…
A cohort is a group of subjects which share a defining feature. We can observe the behaviour of a cohort over time and compare it to other cohorts. In this article, I’m going to present a data science tutorial on…
It’s great to develop an app that reminds you of your plans like an alarm or a to-do list. In this article, I’ll walk you through how to write a program to get a desktop notification with Python. How Does…
One of the most favourite questions in a coding interview is to convert Roman numbers to decimals. In this article, I’ll walk you through how to write a Python program to convert Roman numbers to decimals. How To Convert Roman…
There’s a lot of difference between building a machine learning model and deploying it to production to see how it works, as the two jobs differ in both profession and skill set. But in this article, I’ll walk you through…