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…
With the increase in the use of technologies such as artificial intelligence, machine learning, and data science, the need for Python developers has grown exponentially. In this article, I’ll walk you through how to become a Python developer. Over the…
Python strings an ordered collection of characters used to store and represent information based on text and bytes. In this article, I’ll introduce you to some important Python interview questions on strings. What are Strings? Why are they used? Functionally,…
Data Science Project on Life Expectancy Analysis with Python
Have you ever thought about the possibility of using your phone’s camera for computer vision task? Yes, you can! In this article, I will walk you through how to use your phone camera with Python for computer vision. Learn How…
Machine Learning Project on Bitcoin Price Prediction with Python
Many of you are often confused between machine learning or software development which is a better career for you in 2021. When I started my career in coding, I had the same confusion as well. So, here in this article,…
If something is wrong with your code, Python will try to help you by displaying an error message. These error messages are just bugs in your code. In this article, I’ll walk you through how to fix bugs in Python.…
Most of the numeric types in Python are pretty typical and will probably sound familiar if you’ve used almost any other programming language in the past. In this article, I will introduce you to all the numeric data types in…
Data Science Project on Human Resource Analysis with Python
Are you a quiz fan? Would you like to make one yourself? In this article, I’ll walk you through how to create a quiz game with Python. I will create an animal quiz here. Even though the questions are about…
In the Python programming language, the user-defined classes define new types of objects that extend the base set. In this article, I’ll walk you through a tutorial on Python classes. Introduction to Classes in Python Python supports both procedural and…
Computer vision is all about the applications and algorithms to build intelligent systems to obtain information from images. In this article, I will introduce you to computer vision tutorial with Python. What is Computer Vision? Today, the use of images…
Coding means writing step-by-step instructions that can get a computer to perform a task. In this article, I will take you through what coding is and how to become a coder. With coding, we can make computers do simple tasks…
Artificial Intelligence Projects Solved and Explained with Python
In Machine Learning, an imbalanced dataset is primarily concerned in the context of supervised machine learning where we are dealing with two or more classes. In this article, I’ll walk you through what an imbalanced dataset is in Machine Learning…
Introduction to SMOTE in Machine Learning
An Introduction to the Role of Machine Learning
Machine Learning Project on Authorship Attribution with Python
The tuple object (pronounced like toople or tuhple depending on who you’re asking for) is pretty much like a list that can’t be edited. In this article, I will present a tutorial on Python tuples. Python Tuples Python tuples are…
The stack is a type of restricted container that stores a linear collection. Stacks are very common in computer science and are used in many types of problems related to data structures and algorithms. In this article, I’ll walk you…
Text Summarization is the process of creating a summary of a certain document which contains the most important information of the original, the purpose of which is to obtain a summary of the main points of the document. In this…
The term Fibonacci series is used to describe the sequence of numbers generated by a pattern where each number in the sequence is given by the sum of the two preceding numbers. In this article, I will explain how to…
Python dictionaries are something completely different, they are not sequences at all, but are rather known as mappings. In this article, I will introduce you to a tutorial on Python dictionaries. Python Dictionaries Mappings are collections of other objects, but…
Implementation of Sparse Matrix with Python
The list datatype is the most general sequence provided by the Python programming language. In this article, I’ll walk you through a tutorial on Python lists. Python Lists Lists are collections ordered by the position of arbitrarily typed objects and…
Machine Learning Project on House Price Prediction with Python
Searching and sorting are two of the most common applications in computing. In this article, I’ll walk you through the most important coding interview questions about searching and sorting algorithms. What is Searching and Sorting? When people collect and use…
Introduction to Bias and Variance in Machine Learning
Understand which programming language is used for which task.
In the process of building a machine learning model after handling null values and turning categories into numbers and preparing them for our models, the next step is to transform the data for outliers detection and models that require normally…
Machine Learning Project on Real-Time Face Mask Detection with Python
Learn to find correlation using Python
Data types make programming easier and are more powerful and efficient than most that can be created from scratch. In this article, I’ll walk you through some Python interview questions on data types. What are Data Types? A data type…
Introduction to Data Structures and Algorithms
An introduction to Named Entity Recognition
Implementation of the game of life with Python
In machine learning, Speech recognition is an interesting task that allows you to recognize the text behind the audio. With the use of voice recognition, we can also extract text from a video. In this article, I will walk you…
Machine Learning Project on Named Entity Recognition with Python
An Introduction to Sentiment Analysis in Machine Learning
There are many occasions when we need to execute one or more statements multiple times until a condition is met. In programming, running a condition multiple times is done using loops. In this article, I’ll show you some examples of…
Bar Plots Tutorial with Python using Matplotlib
Machine Learning Project on Number Plate Detection with Python
An introduction to Object Detection in Machine Learning.
Data Science Project on IPL Analysis with Python
Print Colored Text with Python using Colorama
Create a Fidget Spinner game with Python
Machine Learning Tutorial on Gold Price Prediction with Python
Machine Learning Project on Object Detection with Python
Python allows users to define their functions which can be used just like any other built-in or library function. In this article, I’ll show you some examples of functions in Python. What are the Functions in Python? There are two…
Stratified Sampling Tutorial with Python
In Data Science, the most used data structures are the Series and the DataFrame which deal with arrays and tabular data respectively. In this article, I will walk you through a tutorial on pandas DataFrame with Python. What is a…
Introduction to Pandas Series with Python
In Python, a class is an outline that describes the data stored in an object and defines the operations that can be performed on the object. In this article, I’ll show you some examples of classes with Python. What are…
Data Science Project on Highest-Paid Athletes Analysis with Python.
Learn to create a BMI Calculator with Python.
If Else statements are used as a form of conditional programming which is something that you probably do every day in the real world. In this article, I’ll show you some examples of If-Else with Python programming language. Introduction to…
Machine Learning Project on Text Generation with Python
Scatter Plots with Python using Matplotlib
Introduction to The Most Important Functions in Python.
Machine Learning Tutorial on K-Nearest Neighbors with Python.
5 Best Python Books for Beginners
A Complete Machine Learning Project Walkthrough with Python.
In machine learning, spelling correction and spell checking is a well-known and well-studied problem in natural language processing. In this article, you will learn about a very basic machine learning project on spelling correction with Python programming language. Introduction to…
Who is a Data Scientist? What Does a Data Scientist Do?
You will often see people setting random_state=42. Usually, this number has no special properties, but in this article, I’ll explain why random_state=42 in Machine Learning. What is Random_state in Machine Learning? Scikit-Learn provides some functions for dividing datasets into multiple…
Introduction to Data Analysis
Learn how to create donut plots with Python.
The data-driven world we live in can make or break any business. There are big companies that are gone in no time because they have failed to monitor their customer base or their progress. In this article, I’ll walk you…
Data Science Project on Income Classification with Python.
Facebook Prophet Model tutorial with Python.
Machine Learning is one of the most important parts of the data-driven economy. If you want to learn machine learning you must be having complete knowledge of what to learn before starting with Machine Learning. In this article, I will…
To operate a machine like a human, the machine must learn to work, because the machine learning and deep learning techniques are used to help a machine solve a problem in real-time. They both have algorithms that work on these…
Dealing with Class Imbalance in Machine Learning using SMOTE
Learn to solve business problems with Machine Learning.
In the era of the data-driven economy, it is very important to know the use of technologies like Machine Learning, Artificial Intelligence, and Data Science in your career options. It does not matter what field you are in, important is…
Creating Turtle Graphics with Python
How to Learn Machine Learning after Commerce?
20 Machine Learning Projects on Computer Vision Solved and Explained with Python.
Simulating the Monty Hall Problem with Python.
The most important Machine Learning interview topics.
Machine Learning Project on Language Translation with Python.
Python program to convert video to audio.
20 Machine Learning Projects on NLP Solved and Explained with Python.
Machine Learning project on Sentiment Analysis with Python.
In this article, I will take you through a complete Machine Learning Interview Preparation step by step process. Machine Learning is a field of Artificial Intelligence, the person doing a job in machine learning field needs to train Machine Learning…
10 Machine Learning Projects on Time Series Forecasting Solved and Explained with Python.
Machine Learning Project on Resume Screening with Python.
In this article, I will introduce you to an advanced Python project on Tic Tac Toe GUI with Python. This game is very popular and is quite simple in itself. It is a two-player game. In this game, there is…
30 Python Projects Solved and Explained.
200+ Machine Learning Projects Solved and Explained with Python.
In this article, I will take you through how to create a Calculator GUI with Python programming language. Here I will use the Kivy package in Python to build a Calculator GUI. Kivy is a free, Open Source Python library…
Machine Learning Project on Sign Language Classification with Python.
20 Machine Learning Projects for Portfolio Solved and Explained with Python.
In this article, I will walk you through how to create a number guessing game with the programming language Python and C++. A guessing game includes handling user input, using the if statement as well as looping constructs. How Number…
Data Science Project on Online Shopping Intention Analysis with Python.
12 Machine Learning Projects on Object Detection Solved and Explained with Python.
List Comprehensions in Python are concise syntactic constructs. They can be used to generate lists from other lists by applying functions to each item in the list. In this article, I will introduce you to the concept of list comprehensions…
Data Science Project on Network Graph Analysis with Python.
5 Web Scraping Projects with Python.
Visualizing 3D Surface Plots with Python.
A large number of image file formats are available for storing graphic data, the most popular being JPG and PNG. In this article, I will take you through how to create an image converter GUI with Python to convert PNG…
Learn how to read large datasets with Python.
This article is a tutorial on NLP with Python. Here you will learn how to use the main NLP library known as spaCy to undertake some of the most important tasks of working with text data. Introduction to Spacy for…
Learn how to build algorithms with Python.
Machine Learning Project on Keyword Extraction with Python.
Python Program to Convert Fahrenheit to Celsius
Python Program To Correct Spellings
Data Science Project on Amazon Bestselling Books Analysis with Python.
20 Machine Learning Projects on Future Prediction with Python.
Implementation of Sorting Algorithms with Python
Machine Learning Project on Covid-19 Cases Prediction with Python for Next 30 Days.
The use of chatbots has evolved rapidly in many areas in recent years, including marketing, support systems, education, healthcare, cultural heritage, and entertainment. In this article, I will introduce you to 4 Python chatbot projects for beginners and advanced levels.…
Weight conversion means to multiply the value of a unit with the standard conversion value. In this article, I will take you through how to create a weight converter GUI with Python programming language. The standard weight conversion values include:…
7 Python GUI Projects for Beginners
Data Science Project on YouTube Trending Videos Analysis with Python.
All Unsupervised Learning Algorithms Explained with Python.
Create a Chessboard with Python
All Machine Learning Algorithms Explained with Python.
GeoPandas is an Open Source Python package that offers the best combination of spatial data analysis and mapping functions in Python. In this article, I will introduce you to the concept of GeoPandas in Python programming language. Introduction to GeoPandas…
10 Machine Learning Projects on Regression Solved and Explained with Python.
Understand How Machines Learn with Machine Learning
10 Machine Learning Projects on Classification Solved and Explained.
Logistic Regression Algorithm in Machine Learning with Python.
Machine Learning Project on Gender Classification with Python.
6 Sentiment Analysis Projects with Python.
Learn How To Choose a Machine Learning Algorithm.
Machine Learning Project on Flower Recognition with Python.
100+ Topic of Machine Learning Explained using Python
4 Recommendation System Projects Solved and Explained
The complete process of machine learning.
20 Deep Learning Projects Solved and Explained with Python.
Learn How to Convert Categorical Features to Numerical Values in Machine Learning.
In this article, I will introduce you to a machine learning project on pneumonia detection with the Python programming language. Pneumonia is an inflammatory condition of the lung mainly affecting the small air sacs called alveoli. Introduction to Pneumonia Detection…
In this article, I will take you through 5 Covid-19 Projects with Python and Machine Learning. We have experienced a rise in technology with the rise of Covid-19 as technology is helping a lot that you can ever imagine. So…
In Machine Learning, we train models using training data. In this article, I’ll walk you through how much training data is required for a machine learning model. How Much Training Data is Required for Machine Learning? Given the difficulty of…
Machine Learning Project on Employee Attrition Prediction with Python.
Learn How to Determine Target Variable in Machine Learning.
Linear Regression Algorithm using Python Programming language.
How to reduce overfitting is the most important question many machine learning practitioners ask while working on projects. Well, that’s a good question because we all want models that perform well on unseen data. In this article, I’ll walk you…
Machine Learning Project on Hand Gesture Recognition.
To perform some essential data cleansing, you need to go deeper to extract additional value from the data that improves the performance of your machine learning model. In machine learning, this process is called feature engineering. In this article, I’ll…
The Practical Use Cases of Machine Learning.
Machine Learning Project on Face Mask Detection with Python.
The best resources to learn machine learning for free.
Market Basket Analysis using Apriori Algorithm in Machine Learning
This article will introduce you to over 100+ machine learning projects solved and explained using Python programming language. Machine learning is a subfield of artificial intelligence. As machine learning is increasingly used to find models, conduct analysis and make decisions…
Convert a Pdf to audiobook
Machine Learning Project on Breast Cancer Detection Model
Machine Learning Project for beginners on Stock Price Prediction.
Set up and create a Python virtual environment for Windows, macOS, and Linux.
Learn how to create a CSV file using Python.
Machine Learning Project on Earthquake Prediction Model using Python.
Introduction to Exception Handling in Python programming language.
Outlier Detection in Machine Learning using Hypothesis Testing.
3 Golden Rules to Improve Your Machine Learning Skills.
Machine Learning Project on Heart Disease Prediction using Python.
The Concept of Worst Case, Average Case, and Best Case in Algorithm Analysis.
Introduction to MERN Stack
Data Analysis Project for Beginners on Plastic Users Analysis with Python.
Introduction to Accuracy, F1 Score, Confusion Matrix, Precision and Recall in Machine Learning.
Machine Learning Project on Landmark Detection using Python programming language.
Machine Learning in 5 Lines of code with MindsDB and Python.
Difference Between Data Science, Artificial Intelligence, Machine Learning and Deep Learning.
Introduction to R Programming language for Machine Learning.
The Complete Roadmap for Machine Learning.
Tips of How To Learn Programming in the right way?
Introduction to the types of CNN Architectures in Machine Learning.
Introduction to the Fundamentals of Competitive Coding.
Introduction to Anomaly Detection in Machine Learning.
Introduction to The Benefits of Competitive Coding.
Introduction to the most important Python Libraries for Data Visualization.
Introduction to the Types of Machine Learning Algorithms.
Learn to handle Time Zones with Python.
Introduction to Hadoop in Data Science.
Build a Chatbot with Python and Machine Learning.
Understand the Difference Between Data Science and Actuarial Science.
Introduction to DBSCAN Algorithm in Machine Learning.
Introduction to Boosting Algorithms in Machine Learning.
Understand Why and How you can contribute to Open Source Projects with your coding skills.
Age and Gender Detection with Machine Learning using the Python programming language.
The Types of Data Science Jobs and their skills required.
Introduction to TF-IDF Vectorization in Machine Learning and its implementation using Python.
Tips to create a job-winning data science portfolio.
Introduction to Stopwords in Machine Learning using Python Programming Language.
The implementation of Bag Of Words in Machine Learning using Python Programming Language.
An Introduction to the Machine Learning behind Self-Driving Cars.
Introduction to Cross-Validation in Machine Learning and its implementation with Python.
Learn how Google uses machine learning in its applications to serve its services.
A Complete Introduction to Unsupervised Machine Learning and Its Types.
Topic Modeling in Machine Learning using Python programming language.
Introduction to Supervised Learning and its types: Classification and Regression.
Build a Barcode and QR code reader with Python and Machine Learning.
5 Types of Analysis in Data Science You Should Know.
Introduction to Data Types in C++.
Learn to create your own Audiobooks with Python.
Introduction to K Nearest Neighbour Algorithm in Machine Learning.
The Fundamentals of Programming you should know.
The geometric intuition behind clustering in machine learning is simple: you want to group data points that are “close” in a certain sense. So, for any algorithm to work, you need to have a concrete way to measure “proximity”; such…
What is Support Vector Machine (SVM) and How it works?
In Machine Learning, decision trees are very versatile supervised learning models that have the important property of being easy to interpret. In this article, I will explain what the Decision Trees Algorithm in Machine Learning is and how it works.…
The Role of Statistics in Machine Learning.
Learn How Recommendation Systems Work.
Basic Python Program to Find the Area of a Triangle.
Handwriting Recognition with Machine Learning Using KNN and Python Programming Language.
Learn To Generate Contour Plots with Python
The most important techniques of Data Visualization for Machine Learning.
Learn to find the Square Root of a number using the Python Programming Language.
A Simple Way of Face Detection with Python
Everything we see as a final output has a process involved. Machine Learning algorithms also follow a process, it doesn’t matter you are working with numerical data, images, audio or data in any form the process remains the same. In…
In this article, I will take you through the implementation of Graph Algorithms with Python. As a data scientist, you should be well aware to find relationships among people by using the network they create within each other. So here…
In this article, I will take you through the Ridge and Lasso Regression in Machine Learning and how to implement it by using the Python Programming Language. The Ridge and Lasso regression models are regularized linear models which are a…
Basic Python Program to Add Two Numbers
On October 5, 2020, Python released a new version of Python, 3.9.0rc2. In this article, I will introduce you to the updates to Python in Python 3.9. Here you will get all the important information about the highlights of the…
In this article, I will explain to you how we can visualize the solar system with Python. There is a great selection of graphics libraries in Python that allows you to plot all major types of graphics so that you…
In this article, I will take you through the complete knowledge of the interview process for a job role in Machine Learning. Here you will get all the information regarding how to apply for a job and get your interview…
From changing buying habits to piloting elections, our data is so much valuable to someone you can never imagine. In this article, I’ll take you through why data is so valuable in the age of data science and machine learning.…
In this article, I will take you through how you can extract text from PDF files using Python. To extract text from a PDF is not an easy task, there is a lot to do here. But for some help,…
In this article, I will walk you through the task of Global Pandemic COVID 19 Analysis with Python. COVID-19 does not need to be introduced, it is the latest infectious disease to take hold of the whole world. So, have…
LSTM Model for Title Generator
In this article, I’ll walk you through how to make a card game with Python. In this card game, each player draws a card from the deck and the player with the highest card wins. I’m going to build this…
Have you ever thought about how the autocorrect features works in the keyboard of a smartphone? Almost every smartphone brand irrespective of its price provides an autocorrect feature in their keyboards today. So let’s understand how the autocorrect features works.…
In this article, I’m going to walk you through 4 ways you can earn money with machine learning without doing any work. Have you heard of machine learning contests? They are a good way to practice your skills, besides that…
Python is a modern interpreted programming language that can be used to build programs using a procedural or object-oriented paradigm. It provides many built-in features and has simple and easy to learn syntax. In this article, I’ll introduce you to…
So this is a question that do I need a degree in Machine Learning or not, which I get asked quite a lot, and the answer is it depends. It depends on you. It depends on your background, what you’ve…
In this article, I will take you through Deepfake Detection with Python and Machine Learning. I recently wrote an article on what is Deepfake and how it is dangerous. If you don’t know what is Deepfake then I will suggest…
In this article, I will take you through how we can create a quiz game with Python. If you are a beginner in Python then this is an ideal task for you because while building this quiz game you will…
Many of you get often confused between Machine Learning Or Software Development, which is a better career for you. When I started with my career in coding I also had the same confusion. So here in this article, I will…
In this article, I will explain to you what Deepfake is in Machine Learning, how it works. In Machine Learning the Deepfake technology swaps a person’s face in an image or video with another person’s face. Deepfake in machine learning…
In this article, I will take you through how we can predict the US presidential elections with Python. Here, I will not train any machine learning model. I will analyze the sentiments of people for the candidates and then at…
In machine learning, annotation is the process of identifying data that is available in different formats, such as text, video, or images. Labelled data sets are needed for supervised machine learning so that machines can interpret the input sequence with…
In this article, I’m going to create a web scraper with Python that pulls all the stories from Google News by extracting all the tags from the HTML of Google News. Google News uses tags to create links to the…
In this article, I will take you through the best laptops for machine learning. It does not matter if you are a professional programmer, a freelancer programmer or a programming student, you always desire for a laptop that can be…
Github is a very popular version control system. Typically, you use a version control system in conjunction with a service that stores your software in the cloud. In this article, I’ll walk you through how to use Github as a…
In this article, I’ll walk you through how to convert an image to a pencil sketch with Python in less than 20 lines of code. Python is a general-purpose programming language and with the growing popularity of Python, it can…
Fake Currency Detection is a real problem for both individuals and businesses. Counterfeiters are constantly finding new methods and techniques to produce counterfeit banknotes, which are essentially indistinguishable from real money. At least for the human eye. In this article,…
The coding interview is a daunting experience. Imagine that you are interviewed for the job of your dreams, you are completely analyzed. Every statement you make and every code you write is noticed intensely. In this article, I’ll walk you…
There are more than 600 programming languages. The demand and popularity of programming languages keep changing every year. Also, new programming languages are coming with interesting features. It becomes difficult to guess which one to choose for which framework. So…
In this article, I will take you through how the tinder or other dating sites algorithms work. I will solve a case study based on tinder to predict tinder matches with machine learning. Now before getting started with this task…
The role of a developer in an organization is one of the highest-paying roles. Whether it’s a stunning website, high performing e-commerce site, or any other web application based on a machine learning model, it is the work of a…
In this article, I will take you through how we can classify the nationalities of people by using their names. You will be thinking about how we can classify nationalities by using just names. There is a lot about how…
In this article, I’ll walk you through how to save machine learning models. Model progress can be recorded during and after training. This means that a model can pick up where it left off and avoid long periods of training.…
The main difference between bad programmers and good programmers is whether they consider their code or their data structures and algorithms to be more important. Bad programmers worry about code. Good programmers care about data structures and algorithms. In this…
In Python, Decorators are models of software design. They dynamically modify the functionality of a function, method, or class without having to directly use subclasses or modify the source code of the decorated function. If used correctly, then these functions…
The discovery of the TikTok Algorithm is a very popular and powerful recommendation system. Similar to Netflix and YouTube, the TikTok algorithm works out of you. It can only provide you with profiled recommendations if you use the app by…
In this article, I will introduce you to some tips and advice on how to improve your programming skills. Many newbies and practitioners ask questions about how they can improve their programming skills so that they can also create something…
In this article, I will walk you through how to create a text editor GUI with Python that can create, open, edit, and save text files. We need three important widgets to create the desired text editor GUI with Python;…
The professional role in the field of Machine Learning can provide a very good salary. However, some companies may see the role differently, resulting in a widely varying salary range around the world. In this article, I’ll explain how much…
You must have used Instagram once in your life, have you noticed that you see a variety of Instagram filters when uploading an image. These filters are designed to improve the quality of the image. These filters are an example…
Like many categories of fruit, datasets almost always require some form of pre-cleaning and human manipulation before they are ready for digestion. For machine learning and data science more broadly, there are a large number of techniques for the process…
In this article, I will take you through a full machine learning course for free. This machine learning course is for those who are learning machine learning on their own. Yes, it’s possible to learn it on your own, you…
If you are very good with Python and now want to look for opportunities to get something in return for your programming skills with Python then here in this article I will walk you through some tips and steps needed…
In Machine Learning Scalars, Vectors, Matrices and Tensors are the part of Linear Algebra which is used in the mathematical computations in Machine Learning. In this article, I will take you through what are Scalars, Vectors, Matrices and Tensors in…
The modern game of cricket generates a lot of statistical and user-generated data. This information is used by coaches and performance analysts to design strategies for future games and seek out new talent. In this article, I will analyze an…
In Machine Learning, StandardScaler is used to resize the distribution of values so that the mean of the observed values is 0 and the standard deviation is 1. In this article, I will walk you through how to use StandardScaler…
Python is the best language for machine learning for several reasons. First, Python has a clear syntax. Second, it makes the manipulating text extremely easy. A lot of people and organizations use Python, so there’s a lot of development and…
In this article, I will take you through how we can predict the IPL winner with machine learning. The Indian Premier League (IPL) is a professional Twenty20 cricket league in India, played in March or April and May of each…
In Python, Generators are lazy iterators created by generator functions or generator expressions. In this article, I will introduce you to generators in Python. At the end of this article, you will learn what generators are and how to implement…
In this article, I will introduce you to a very important concept for machine learning practitioners: when do we need machine learning. It’s one of those basic issues that every computer science student faces when moving from basic computing practices…
In this article, I am going to walk you through how we can train a model that will help us predict car prices with Machine Learning using PyTorch. The dataset I’m going to use here to predict car prices is…
Machine learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on ‘automatic’, that is, machine learning is about general-purpose methodologies that can be applied to many sets of data while producing something meaningful.…
Python is now one of the most popular and skillful languages in programming domain. In this article, I will take you through some of the most important Python interview questions you need to know. To sit in an interview you…
In machine learning, model validation is a very simple process: after choosing a model and its hyperparameters, we can estimate its efficiency by applying it to some of the training data and then comparing the prediction of the model to…
Electronically stored medical imaging data is plentiful and Machine Learning algorithms can be fed with this type of dataset, to detect and uncover patterns and anomalies. In this article, I will introduce you to five machine learning projects for healthcare.…
For most businesses, the story generally goes as follows. A customer calls to complain, praise or ask for help, then the call is recorded for further training or assessment, then the recording is usually chosen at random, listened to by…
One of the reasons I want you to learn about physical computing is because small computers doing physical activities are all around you. And we mean everywhere. Go up to your kitchen. Look around you. Your refrigerator has a computer,…
Python Lists are the most flexible and ordered collection object. Lists can contain any type of data types: numbers, strings, and even lists. The best way to understand list in python is to understand by using it. A list can…
For any given machine learning problem, many algorithms can be applied and several models can be generated. A spam detection classification problem, for example, can be solved using a variety of models, including naive Bayes, logistic regression, and deep learning…
In this article, I will walk you through a numerical computational task with Python to count rainy days with python. Imagine you have a data series that represents the amount of precipitation each day for a year in a given…
Natural Language Processing (NLP) consists of developing applications and services capable of understanding human languages. Some practical examples of NLP are speech recognition, for example, Google voice search, understanding content or analyzing feelings, etc. In this article, I will take…
In this article, I will introduce you to JSON in Python. At the end of this article, you are going to learn what JSON is, why it exists, why people use it, and finally how to use the power of…
Computer vision is a field of machine learning that processes images to solve real visual problems. In this article, I’m going to introduce you to some very useful computer vision projects and tasks that will help you boost your portfolio.…
Humans have an inherent ability to transfer knowledge between tasks. What we acquire as knowledge while learning a task, we use it in the same way to solve related tasks. The more the tasks are linked, the easier it is…
Have you ever heard of the word API and wondered what it is exactly? Got a vague idea, but want to know more about what you could do with an API and how you could create one? In this article,…
Machine learning is becoming a fundamental need for every business these days and plays a major role in differentiating your startup from others. Unfortunately, most startups underestimate how difficult and expensive implementing machine learning can be. Here are the guidelines…
Sometimes we can be in a situation where we need to send emails to multiple people in a personalized way. Although these emails follow the same format, the information they contain varies from recipient to recipient. In this article, I…
Automated machine learning, also known as AutoML, is an emerging field in which the process of building machine learning models to model data is automated. AutoML can make modelling easier and more accessible for everyone. In this article, I’ll walk…
If you are a Machine Learning Practitioner, you must be having this question these days that will AutoML replace Data Science Jobs or not? Now, this is a good question if you are dedicated to your practice and you will…
In this article, I’ll walk you through a colour recognition task with Python. This process is also known as colour detection. We are going to create a basic application that will help us detect colours in an image. The program…
In this article, I will take you through an excellent technique to create a 3D video with python by using the matplotlib package. But before learning to create a 3D video with python, I would suggest you learn how to…
In B2B marketing, companies use customer relationship management (CRM) software such as Salesforce, Oracle, and SugarCRM to maintain contact records of business partners who maintain key roles in decision making and purchasing. This data can be used in machine learning…
In Python, NumPy Broadcasting describes how arithmetic works between arrays of different shapes. This is a very powerful feature, but one that can be easily misunderstood, even by experienced users. In this article, I will introduce you to NumPy Broadcasting…
A local image characteristic is a tiny patch in the image that is indifferent to the image scaling, rotation, and lighting change. It’s like the tip of a tower or the corner of a window in the image below. In…
AB Testing refers to a randomized controlled experiment designed to understand how system variants affect metrics. Most major websites today run hundreds or even thousands of AB tests simultaneously, as different product groups seek to optimize for different metrics. In…
Besides the def statement, Python also provides a form of expression that generates function objects. Due to its similarity to a Lisp language tool, it is called lambda. In this article, I will introduce you to the Lambda function in…
In Machine Learning, a seasonal autoregressive integrated moving average (SARIMA) model is a different step from an ARIMA model based on the concept of seasonal trends. In this article, I will introduce you to the SARIMA model in machine learning.…
Great, you’ve got approval to launch a machine learning model. Now you need to prepare your solution for production (e.g. tweaking the code, writing documentation and testing, etc.). Then you can launch your machine learning model in your production environment.…
Word embeddings or word vectors represent each word numerically so that the vector matches how that word is used or what it means. Vector encodings are learned by considering the context in which the words appear. Words that appear in…
Rainfall Prediction is one of the difficult and uncertain tasks that have a significant impact on human society. Timely and accurate forecasting can proactively help reduce human and financial loss. This study presents a set of experiments that involve the…
A simple solution to the sequence search problems is the linear search algorithm, which is also known as a sequential search algorithm. In this article, I will tell you how to create a linear search algorithm with python. How Linear…
Proximity analysis is a way to analyze the locations of features by measuring the distance between them and other features in the area. The distance between point A and point B can be measured in a straight line or along…
In this article, I will explain how to create interactive maps with the folium package in python. Along the way, you will also learn how to apply your new skills to visualize Boston criminal data. To get started with the…
Random sampling is part of the sampling technique in which each sample has an equal probability of being selected. A randomly selected sample is meant to be an unbiased representation of the total population. In this article, I’ll walk you…
Natural Language Processing (NLP) is a great task in Machine Learning to work with languages. However, you must have seen everyone working with only in the English language while working on a task of NLP. So what about other languages…
In this article, I will take you through how we can analyze Healthcare data with Python. The process of data analysis remains almost the same in most of the cases, but there are some domains which are very much categorical.…
If you are thinking to choose Python as your first programming language then here in this article, I will take you through why you should think about it again to choose Python as the first programming language. Python is becoming…
In this article, I will take you through a real-world task of Machine Learning task to predict the migration of humans between countries. Human migration is a type of human mobility, where a journey involves a person moving to change…
The genetic algorithm is a computer approximation of how evolution performs research, which involves making changes to the parent genomes in their offspring and thus producing new individuals with different abilities. In this article, I will walk you through how…
Well, sometimes to access big data you have to use a BigQuery. It is important to understand that you are not only storing the data in the cloud, you are also using the data analysis tools in the cloud. You…
To create a neural network, you need to decide what you want to learn. Here, I’m going to choose a fairly simple goal: to implement a three-input XOR gate. (It’s an exclusive OR gate.) The table shows the function we…
Groupby is a fairly simple concept. It helps in creating a group of categories and apply as a function to the categories. It’s a simple concept, but it’s an extremely valuable technique that is widely used in data science. The…
In this article, I will introduce you to the application of Machine Learning in healthcare. I will show you how we can work on the lung segmentation task with machine learning using python. Lung Segmentation with Machine Learning Lung segmentation…
In cross-validation, we run the process of our machine learning model on different subsets of data to get several measures of model quality. For example, we could start by dividing the data into 5 parts, each 20% of the full…
In this article, you will learn what data leakage is and how to avoid it. If you don’t know how to prevent it, leaks will frequently occur and ruin your models in subtle and dangerous ways. It is, therefore, one…
Neural networks and various other models of how the brain works have been around since people started talking about artificial intelligence. This article introduces you to the concept of neural networks and how to implement them using Python. Understanding Neural…
XGBoost or Gradient Boosting is a machine learning algorithm that goes through cycles to iteratively add models to a set. In this article, I will take you through the XGBoost algorithm in Machine Learning. The cycle of the XGBoost algorithm…
By the end of this article, you will understand the concepts of overfitting and underfitting in machine learning, and you can also apply these concepts to train your machine learning models more accurately. What are Overfitting and Underfitting in Machine…
Lambda is a new hardware company that was founded in 2012 but has already produced some great pieces of hardware. In this article, I’ll go over Tensorbook, which is a machine learning laptop produced by Lambda, and why I think…
Neural networks and various other models of how the brain works have been around since people started talking about artificial intelligence. In this article, I’m going to introduce you to some very useful neural networks projects that you can use…
In this short article, I’ll show you how you can use the power of Python to extract text from images. The applications of this technique are endless. Some examples include: Data mining for machine learning tasks Take photos of receipts…
ABC analysis assumes that income-generating items in an inventory follow a Pareto distribution, where a very small percentage of items generate the most income. In this article, I’ll walk you through how we can perform ABC analysis with Machine Learning.…
In this article, I will take you through how we can implement Moving Averages with Python. Moving averages are commonly used by technical analysts and traders. If you’ve never heard of a moving average, you’ve probably at least seen one…
Edge AI begins with Edge Computing. It is also known as edge processing, edge computing is a network technology that positions servers locally near devices. In Machine Learning Edge AI helps reduce system processing load and resolve data transmission delays.…
This article is a continuation of my series on Building Robots with Python. This is the second article on Robots with Python, if you have missed the first one of this series then I will recommend you to read the…
In these types of machine learning problems to predict fuel efficiency, we aim to predict the output of a continuous value, such as a price or a probability. In this article, I will take you through how we can predict…
Robots. It’s a name we’ve been talking about for a hundred years. Did you know there was a robot in Frank Baum’s Land of Oz in 1907? He didn’t call it a robot, but it is a robot. In this…
In this article, I’ll walk you through the 5-step process of data science. Let me walk you through these steps first and then walk you through all the steps involved in the Data Science process. The data science process includes:…
In Machine Learning, spaCy is a very useful open-source library for advanced natural language processing (NLP) tasks for Python. If you work with a lot of text, you might want to learn more about it. For example, what is it?…
In this article, I will introduce you to a text classification model with TensorFlow on movie reviews as positive or negative using the text of the reviews. This is a binary classification problem, which is an important and widely applicable…
In this article, I will analyze Diamonds with python using data science tools. For this first problem, I want to choose a pretty simple dataset from Kaggle. You can easily download this dataset from here. Now let’s start with this…
OpenCV is a bunch of stuff mainly dealing with processing images and videos on your computer. This is a standard library for Computer Vision for Python tasks. In this article, I will introduce you to a tutorial on OpenCV with…
One of the most important reasons Python is so valuable to use for machine learning is because of its huge collection of libraries for computational algorithms and visualization tools. In this article, I’ll introduce you to the most important Python…
For all the hype around packages, a python package is a pretty straightforward thing. It’s just a file with a .py extension that contains Python code. That’s all. So every time you write Python code and save it to a…
In this article, I will train a model to predict weather with machine learning. We will act as if we do not have access to the weather forecast. We have access to a century of historical averages of global temperatures,…
In this article, I am going to explain how we can train a neural network model for the task of image classification with TensorFlow. For those new to TensorFlow, TensorFlow is an end-to-end open-source platform for machine learning. It has…
If I say that Python is better than R it will be true for me, it might not be true for you. You might have your reasons that R is more useful than Python. But For data science and Machine…
Machine learning algorithms often get the majority of attention when people discuss machine learning; however, success depends on good data. There are mainly two types of data, structured data and unstructured data. In this article, I’ll walk you through how…
Neural networks can be a difficult concept to understand. I think it’s mainly because they can be used for so many different things like classification, identification or just regression. In this article, I will walk you through how to set…
If you are a beginner in Machine Learning you must be confused about how to use which algorithm where and how to choose whether we need to train an algorithm or we need to build a Neural Network. Well, my…
With the growing demand for experts in the field of Machine Learning, more and more experts are starting to research common questions for their interviews. In this article, I’m going to introduce you to some very common machine learning interview…
The first galaxy was observed by a Persian astronomer Abd al-Rahman over 1,000 years ago, and it was first believed to be an unknown extended structure. which is now known as Messier-31 or the infamous Andromeda Galaxy. From that point…
My Journey from Commerce to Machine Learning.
If you think that TensorFlow and PyTorch are the only ways to Neural Networks with Python then I would tell you that you are wrong. As there is another package to build Neural Networks with Scikit-Learn and Python. In this…
Here in this article, I will take you through how to implement a binary search algorithm with python. Binary search also called half-interval search, which is an algorithm used in computers systems to find the position of a value in…
In machine learning, one hot encoding is a method of quantifying categorical data. Briefly, this method produces a vector of length equal to the number of categories in the dataset. In this article, I will introduce you to the One…
Let me tell you the story of a small browser the Internet Explorer. At the beginning of its journey, there was a very deep love for Internet Explorer by the users, a deep and passionate love for this browser which…
In this article, I’m going to introduce you to some of the best machine learning books that can help you understand machine learning concepts and guide you on your journey to becoming an expert in this engaging field. Moreover, these…
In this article, I will use the algorithm provided by Facebook, popularly known as Facebook Prophet Model. I will use the Facebook Prophet Model for Daily Births Forecasting using Machine Learning. The Data I will use here is a very…
During my time in data science and machine learning, I have met many employers and interviewers. So here in this article, I would like to share how to prepare your data science resume and even interviews for a Data Science…
A very common confusion among those new to machine learning is the difference between a machine learning algorithm and a Model in machine learning. The two terms are often used interchangeably, which makes it even more confusing. So in this…
If you are a machine learning practitioner and you have a good understanding of the complexities and know the benefits of leveraging machine learning to solve business problems. Now you should know that you need to arm yourself with the…
Humans take no effort to distinguish a dog, cat, or flying saucer. But this process is quite difficult for a computer to emulate: it only looks easy because God designs our brains incredibly well to recognize images. One common example…