Tools Every Python Programmer Should Know
If you are a beginner in Python, you must be using the IDLE code editor that comes with Python. There are many better code editors and tools you will need to use as a Python programmer. So, if you want…
Category Machine Learning
Here’s How to Create a Data Science Project Report
Working on a data science project is one of the best ways of showing your skills in working with data. If you are a data science student, your university will ask you to submit a report on your data science project in…
Group Anagrams using Python
Anagrams are words formed by rearranging the letters of another word, For example, car and arc, cat and act, etc. Grouping anagrams is one of the popular questions in coding interviews. So if you want to learn how to solve…
Data Science Projects on Sentiment Analysis of Reviews
Sentiment analysis of reviews of a product or service helps businesses understand what their customers want from them. Analyzing the reviews is one of the primary use cases for sentiment analysis. If you’re looking for data science projects on sentiment…
Tinder Reviews Sentiment Analysis using Python
Tinder is one of the most popular dating applications. It connects people having similar interests. To check whether Tinder helps people find partners, we can analyze the sentiments of people about Tinder. There are a lot of reviews on the…
Here’s How to Learn TensorFlow for Machine Learning
TensorFlow is one of the most powerful frameworks for Machine Learning. It was created by Google and used by companies like Airbnb, Spotify, and Google. So if you are looking for the best resources to learn TensorFlow, this article is…
Best Python Courses in 2022
Python is one of the most valuable programming languages in the industry. It is preferred by data science professionals and web developers. If you are looking for a complete course to learn Python, this article is for you. This article…
Python Project Ideas for Final Year
Many computer science students look for programming project ideas in their final year. Your final year project should be on a real-time problem. So if you are a final year student and looking for some Python project ideas, this article…
MNIST Digits Classification with Machine Learning
MNIST Digits classification is one of the popular case studies in the data science community. It is based on the problem of Classification in Machine Learning. If you are a beginner in Machine Learning, you must try to solve this…
Convert Pandas DataFrame to NumPy Array
One of the tasks while solving a machine learning problem using Python is to convert a Pandas DataFrame to a NumPy array. A pandas DataFrame is a DataFrame object that we use to work with data, and a NumPy array…
Best Data Science Courses in 2022
Data Science is one of the highest-paid career options today. It is so popular that you can learn everything about data science without spending any money. But some people like to choose a paid course over free resources as we…
Rock Paper Scissors Game using Python
Rock Paper Scissors is a hand game usually played between two people. In this game, scissors can beat paper, paper can beat rock, and rock can beat scissors. If you want to learn how to create a rock paper scissors…
Data Analysis Project Ideas for Final Year
Data Analysis is the process of analyzing a large amount of data to find relationships between different features in the data. If you are a final year student of business analysis or data analysis and looking for some data analysis…
Virat Kohli Performance Analysis using Python
Analyzing a player’s performance is one of the use cases of Data Science in sports analytics. Virat Kohli is one of the most famous cricketers in the world. So it will be a great data science project if we analyze…
Here’s How to Learn GCP for Data Science
As a Data Science Professional, it is valuable to learn about using cloud computing platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS) for Data Science. So if you want to know how to learn Google Cloud Platform…
Best Machine Learning Certifications in 2022
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning and looking for a certification or course to learn and get certified in machine learning, this article is for you. In…
Scraping GitHub Profile using Python
Web scraping is one of the most valuable skills every coder should have. If you want to learn how to collect data from GitHub using web scraping techniques, this article is for you. In this article, I will take you…
Data Science Project Ideas on Sports Analytics
Sports Analytics is the task of analyzing sports data. It includes player performance analysis, analysis of all game highlights, data storytelling and summary of a sports tournament, comparison of strengths and weaknesses of teams and players, etc. So, if you’re…
IPL 2022 Analysis using Python
Every sporting event today generates a lot of data about the game, which is used to analyze the performance of players, teams, and every event of the game. So the use of data science is in every sport today. Currently,…
Here’s How to Learn AWS for Data Science
As a data science professional, it is important to learn how to use cloud computing platforms like Amazon Web Services or Google Cloud Platform for data science. So, if you want to know how to learn Amazon Web Services for…
Here’s How to Find Datasets for Data Science Projects
As a beginner in data science, the choice of topics for data science projects depends on the ease of availability of datasets. Sometimes students think about unique topics, but they can’t find a dataset for their project. So if you…
Generate Text using Python
Text generation involves generating text using machine learning techniques. The purpose of text generation is to automatically generate text that is indistinguishable from a text written by a human. If you want to learn how to generate text with Python,…
Skills You Need for Your First Data Science Job
Data Science is one of the best career options in this data-driven world. There are a lot of technical skills required to work as a data science professional in any domain. If you are learning Data Science and are looking…
Student Marks Prediction with Machine Learning
Student marks prediction is a popular data science case study based on the problem of regression. It is a good regression problem for data science beginners as it is easy to solve and understand. So if you want to learn…
Here’s How to Learn Power BI for Data Science
Power BI is a data visualization tool from Microsoft. It lets us easily connect to data and visualize it to discover necessary insights. As a data science professional, you must know Power BI or Tableau. So, if you are looking…
Best Data Analysis Certifications in 2022
Data analysis means working with data to gather the information which can be used for decision making and solving various business problems. There are many free resources on the internet for learning data analysis. But if you are looking for…
Convert Two Lists into Dictionary in Python
A list is a collection of items provided by the Python programming language, whereas a dictionary in Python is used to store data into key and value pairs. If you want to learn about converting two Python lists into a…
Data Science Project Ideas on Economy
The use of data science is in all fields today. Economics is one of the fields in which we study the growth of a country by understanding the data on the economic factors of a Country. So, if you want…
Covid-19 Impacts Analysis using Python
The outbreak of Covid-19 resulted in a lot of restrictions which resulted in so many impacts on the global economy. Almost all the countries were impacted negatively by the rise in the cases of Covid-19. If you want to learn…
Here’s How to Learn Tableau for Data Science
Tableau is one of the most popular data science tools used for data visualization and analysis. If you want to become a data scientist, you need to know how to use Tableau. So if you’re looking for some of the…
Best Python Certifications in 2022
Python has been one of the best programming languages for a long time now. It is preferred by data science professionals and web developers around the world. Many companies need skilled Python developers. If you want to get a job…
Extract Text From PDF with Python
Sometimes a Python developer needs to collect some text information from PDF files. So extracting text from a PDF is a problem you should know how to solve as a Python developer. If you want to learn how to extract…
Machine Learning Project Ideas for Beginners
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve…
TikTok Reviews Sentiment Analysis using Python
TikTok is one of the most popular social media apps today. It is famous for its short videos. People often use this app to watch entertaining and funny videos. Despite its entertaining content, this application is not liked by everyone.…
Best Data Science Certifications in 2022
Data Science certifications are all about certifying whether a person knows how to work with data or not. Although if you have a good list of projects in your portfolio, you don’t need any data science certification. Having a certification…
Important Python Libraries for Python Developers
A Python developer can work as a web developer, API developer, data analyst, and sometimes a developer who writes reusable code for the complete team of developers. The role of a Python developer may differ from company to company, but…
Visualize Linear Relationship using Python
A linear relationship is a statistical term that is nothing but the relationship between two variables. A linear relationship shows how well two variables x and y are related to each other. As a data science professional, you should know…
Here’s How to Choose a Data Science Job
Many beginners in data science are often confused about what job role they should prepare for. People who are starting to learn data science have either an engineering background, a statistical background, or a non-computer background. Each person has their…
Clustering Music Genres with Machine Learning
Clustering is a machine learning technique to group data points characterized by specific features. Clustering music genres is a task of grouping music based on the similarities in their audio characteristics. If you want to learn how to perform clustering…
Here’s How to Solve a Data Science Problem
Many data science beginners can solve any data science problem by following a tutorial, but they often struggle to solve a new data science problem. It’s not easy for beginners to start solving a problem when they see a new…
Best Python Libraries for NLP
Natural language processing (NLP) is a subfield of artificial intelligence and computer science. NLP is the process of processing and analyzing natural language data to create intelligent applications that can understand human languages. Like machine learning, Python is also preferred…
Mean Median and Mode using Python
Mean, Median and Mode are the fundamentals of statistics used in almost every domain where we deal with numbers. Python is one of the best programming languages for numerical calculations. So you should know how to calculate mean, median and…
Here’s How to Learn SQL for Data Science
SQL is one of the most important skills for data science professionals. Most data science beginners don’t focus on learning SQL as much as on learning Python. SQL is as important as Python for data science, especially if you’re looking…
Covid-19 Deaths Prediction with Machine Learning
Covid-19 is one of the deadliest viruses you’ve ever heard. Mutations in covid-19 make it either more deadly or more infectious. We have seen a lot of deaths from covid-19 while there is a higher wave of cases. We can…
Python Project Ideas for Beginners
Python is one of the best programming languages today. It is preferred by web developers and data science professionals around the world. When we learn a new programming language, it is important to work on some basic projects to improve…
Break and Continue in Python
In Python, Break and Continue are statements executed inside a loop. These statements either skip according to the conditions inside loops or terminate loops at a point. If you want to learn all about the Break and Continue expressions in…
Important Matplotlib Functions for Data Science
Matplotlib is one of the most preferred Python libraries for data visualization. If you are learning data science, you must be aware of the kinds of data visualizations you need to work with. In this article, I will not focus…
Here’s How to Learn Data Analysis for Free
Data Analysis is one of the best career options for someone who is not from a computer science background and still wants to build a career as a Data Science professional. As data analysis is a popular field today, you…
Instagram Reach Analysis using Python
Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content. As Instagram is a popular application used by…
Applications of Python in the Real World
Python is one of the most popular programming languages for a long time now. There are so many big tech companies that are using Python. It’s easy to learn and implement Python, that is why so many developers are choosing…
Here’s How to Choose a Topic for a Data Science Project
If you are a Data Science student, you must have found it hard to choose a topic for creating your first data science project as a beginner. Some universities give a list that you can choose from, while some universities…
Reverse a String using Python
A string is a sequence of characters enclosed in single or double-quotes. String inversion is one of the most common problems in computer science. Here we need to reverse the characters of a string. So, if you want to learn…
Here’s How to Learn Machine Learning for Free
In machine learning, we use data and algorithms to build intelligent systems. Companies use machine learning to make their systems and applications smart enough to give a better user experience to the customers. As machine learning is a popular skill,…
Ukraine Russia War Twitter Sentiment Analysis using Python
Today is the 19th day of war between Russia and Ukraine. Many countries are supporting Ukraine by introducing economic sanctions on Russia. There are a lot of tweets about the Ukraine and Russia war where people tend to update about…
Data Science Roadmap
Data science is one of the highest paying career options in this data-driven world. Every company now makes decisions based on the data generated by its business. A company, therefore, needs skilled data science professionals to turn raw data into…
Best Books to Learn Machine Learning
Machine Learning is a branch of Artificial Intelligence where we use data and algorithms to build intelligent systems. It is one of the highest-paid skills in the industry today. If you want to learn machine learning, you should know that…
Scrape Table from a Website using Python
Web Scraping is one of the skills that every data science professional should know. Sometimes the data we need is available on a website in the form of a table which cannot be downloaded directly from the website. To use…
Data Science Projects
As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills. If you’re struggling…
Breast Cancer Survival Prediction with Machine Learning
Breast cancer is one of the types of cancer that starts in the breast. It occurs in women, but men can get breast cancer too. It is the second leading cause of death in women. As the use of data…
Best YouTube Channels for Data Science
YouTube is one of the platforms where millions of people can learn anything for free, as there are so many content creators on YouTube that create valuable content for its audience. So if you are learning data science and looking…
Here’s How to Learn Python for Machine Learning
If you are new to machine learning, you have to choose a programming language to learn machine learning and implement it on data. Python is one of the most preferred programming languages for machine learning. So if you want to…
SequenceMatcher in Python
SequenceMatcher is a class in Python available in the difflib module, which provides functions for comparing sequences in two different pieces of text. So whenever you want to compare two text files, you can explore the difflib module in Python.…
Here’s How to Choose a Data Visualization Graph
Data Visualization is one of the most important skills that every data scientist should have. Data visualization helps in analyzing data by summarizing the data into graphs, which helps understand the story behind the numbers. There are so many tools…
Future Sales Prediction with Machine Learning
Predicting the future sales of a product helps a business manage the manufacturing and advertising cost of the product. There are many more benefits of predicting the future sales of a product. So if you want to learn to predict…
Why Python is Best for Data Science
You must have seen a lot of people in the data science community using Python often and promoting the use of Python for data science. So is it just their biases with Python or it is best for Data Science?…
Best Websites to Prepare for Coding Interviews
Data Structures and Algorithms are the pillars of every coding interview. Most coders learn the essential data structures and algorithms but still fail to crack coding interviews. So what you should do is solve various problems based on data structures…
Reading and Writing CSV Files using Python
CSV (Comma Separated Values) files are the most commonly used file format for importing and exporting big datasets. The reason why a CSV file is preferred over an Excel file is that a CSV file consumes less memory as compared…
Applications of Data Science in Finance
Data science is used in all fields today. Whether it’s social media, marketing, or anything else you’ve heard of, data science is used everywhere. Finance is one of the important domains in the industry, and it also depends on data…
Online Payments Fraud Detection with Machine Learning
The introduction of online payment systems has helped a lot in the ease of payments. But, at the same time, it increased in payment frauds. Online payment frauds can happen with anyone using any payment system, especially while making payments…
Best Programming Languages for Data Structures and Algorithms
An algorithm is a sequence of steps to solve a problem. In computer science, the efficiency of an algorithm depends on how well it organizes data appropriately. The organization of data to solve a particular problem is known as a…
Websites using Python
Python has been one of the highest demanded programming languages for the past five years in the industry. Almost every popular website uses Python either in the front-end or the back-end. So if you want to know about some of…
Create Dummy Data using Python
If you are learning Data Science and find it hard to create a dataset for practice from scratch, you can either download a dataset from Kaggle or create fake data. If you want to learn how to create a dummy…
Difference Between Variance Covariance and Correlation
Variance, covariance, and correlation are statistical measures for finding the relationship between data points in a dataset. If you are learning data science, you need to understand these terms. So if you want to learn more about variance, covariance, and…
Flipkart Reviews Sentiment Analysis using Python
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product…
Ways to Make Money with Coding
Most students learn coding to get a job. But sometimes it takes a long time to complete the courses and other skills required to get your first job. So what should you do as a student if you want to…
Execution Time of a Python Program
The execution or running time of the program indicates how quickly the output is delivered based on the algorithm you used to solve the problem. To calculate the execution time of the program, we need to calculate the time taken…
Software and Tools for Data Science
Whenever you have seen a roadmap to learn data science, you must have found people often highlighting Python or R. Python and R are the most popular programming languages among the data science community. But just having the practical knowledge…
Netflix Stock Price Prediction with Machine Learning
Netflix is one of the most popular OTT streaming platforms. It offers a vast collection of television series and films and owns its productions known as Netflix Originals. People who are highly active in stock market investments always keep an…
Data Science Project Ideas on Sentiment Analysis
Sentiment analysis means extracting, identifying, or classifying sentiment from text using natural language processing. It is also known as opinion mining. If you’re looking for some of the best sentiment analysis project ideas, this article is for you. In this…
Best Code Editors for Python
There are so many code editors for Python that you can use as a student or a professional Python developer. If you want to know about the best code editors for Python, this article is for you. In this article,…
Remove Cuss Words using Python
Cuss Words are the words that make your language sound very impolite, rude, and culturally offensive. Sometimes we need to identify and remove cuss words from a piece of text. So if you want to learn to remove cuss words,…
Waiter Tips Prediction with Machine Learning
Tipping waiters for serving food depends on many factors like the type of restaurant, how many people you are with, how much amount you pay as your bill, etc. Waiter Tips analysis is one of the popular data science case…
Machine Learning Projects on Text Classification
Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…
Find Duplicate Values using Python
Finding duplicate values from an array or any other data structure is one of the popular coding interview questions that you can get in any coding interview. The Python programming language provides many inbuilt functions to find the duplicate values,…
Programming Languages to Learn in 2022
There are so many popular programming languages you can learn. Some languages will help you get your first job, while others can help you land your desired job role. So which programming languages should you learn in 2022? In this…
Data Science Project Ideas for Resume
Data Science is one of the best and most competitive careers today. To work as a data science professional in any field, you need to work on projects that showcase most of your skills and approaches to solving business problems.…
Machine Learning Algorithms Every Beginner Should Know
You must have heard about some machine learning algorithms before, but most beginners often get confused about how many machine learning algorithms they need to learn when they see professionals using algorithms (specifically in Kaggle) that they haven’t heard about…
Histogram Contour Plot using Python
A histogram contour plot is a two-dimensional representation of a histogram that looks like a contour plot. It is used to analyze anomalies and manage overplotting in a large dataset. If you don’t know how to visualize a histogram contour…
Decode a QR Code using Python
Decoding a QR code means finding the value, number, text or link behind the QR code. There are many ways to decode a QR code used by your smartphone cameras, which helps you scan a QR code while making online…
Time Series Analysis using Python
Time series analysis means analyzing and finding patterns in a time series dataset. A time-series dataset is a sequence of data collected over an interval of time. Stock price data, monthly sales data, daily rainfall data, hourly website traffic data…
How to Prepare for a Data Science Interview
If you’ve never worked as a data science professional before, you must be wondering how to prepare for your first data science interview. So if you’ve learned data science, worked on projects, and think you’re ready for your first data…
Python Project Ideas
Python is one of the most popular programming languages today. In 2022, Python will be used more in the industry with programming languages like Golang and JavaScript. If you are looking for a job as a Python developer, the first…
Process of Natural Language Processing
Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language…
Time Series Graph using Python
A time-series graph is a line plot that displays trends or patterns over a dataset collected over an interval of time. For example, when you visualize a line plot of the daily sales made by a business, you are visualizing…
QR Code using Python
A QR Code is a scannable code used to store information. QR codes are used to redirect you to a specific page or to show you some information. You must have scanned QR codes once in your life when making…
Classification with Neural Networks using Python
In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…
Best Approaches for Time Series Analysis
Time series analysis is one of the most important topics in data science. Time series data is a sequence of data points collected and indexed based on an interval of time, and when we analyze such data to find patterns…
Best Books to Learn Neural Networks
A neural network is a computational architecture that connects an input layer to the output layer. Learning about Neural Networks will not only help you in solving complex Deep Learning problems but will also help you do better in an…
How Neural Network Works
A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…
All Data Visualizations in Data Science using Python
Visualizing data is one of the most valuable skills every Data Scientist and Analyst should have. There are a lot of data visualizations to learn in data science. So if you are a beginner in data science and want to…
Sentence and Word Tokenization using Python
Tokenization is the first step you should perform after collecting a textual dataset in every problem based on Natural Language Processing. Sentence and Word tokenization are two different strategies of tokenization that you should know. In this article, I will…
Stock Price Prediction with LSTM
LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…
Programming Languages used by Facebook
Facebook is one of the most popular social media platforms that owns other popular social media platforms like Instagram and WhatsApp. Facebook is one of those companies where every software engineer and data scientist wants to work. If you want…
Deep Learning Project Ideas
Deep Learning is a subset of machine learning that mimics the human brain to solve complex problems. Deep Learning is used to train computers to perform tasks where humans are good at, but computers are not. If you are learning…
Best Resources to Learn Deep Learning
Deep Learning is a subset of machine learning where we need a large amount of data to train powerful models capable of finding relationships in data to solve complex problems. While machine learning algorithms can also be used to train…
Visualize a Machine Learning Algorithm using Python
A machine learning algorithm is used to find relationships between features and labels. Features are the independent variables that we feed into an algorithm to train a machine learning model, and labels are the dependent variables that we aim to…
Query Data using Python
Query data means requesting specific data from a dataset. If you are familiar with SQL, you must know what it means to query data, but if you use the pandas library in Python, you can still query data from your…
Cryptocurrency Price Prediction with Machine Learning
You must have heard or invested in any cryptocurrency once in your life. It is a digital medium of exchange that is encrypted and decentralized. Many people use cryptocurrencies as a form of investing because it gives great returns even…
Programming Languages used by Google
You must have heard that JavaScript is currently the most popular programming language, and Python is one of the popular languages among Data Scientists. Just like that, every programming language is being used in the industry somewhere it is best.…
Time Series Analysis Project Ideas
In Data Science, Time Series data is a sequence of data points collected and indexed according to time. When we analyze such kinds of data to find patterns over an interval of time, it is known as Time Series Analysis.…
Activation Functions in Neural Networks
The activation function is a function used in neural networks to calculate the weighted sum of inputs and biases, which is used to determine whether a neuron should be activated or not. You must have heard a lot about activation…
Box Plot using Python
A box plot is a statistical data visualization technique for analyzing the distribution and patterns of numerical data points of a dataset. It represents quartile 1, quartile 3, median, maximum and minimum data points of a feature which helps to…
Get Stock Price Data using Python
As machine learning practitioners, we need to collect stock price data for regression analysis and time series analysis. We can easily download it from Yahoo Finance. But imagine if we want to create an application where we can analyze the…
Stress Detection with Machine Learning
Stress, anxiety, and depression are threatening the mental health of people. Every person has a reason for having a stressful life. People often share their feelings on social media platforms like on Instagram in the form of posts and stories,…
Data Analysis Projects
Data Analysis is the process of working with data to gather useful insights that can be used for decision making and solving various business problems. Most of the success stories you hear about companies today are because they have a…
Best Books to Learn Time Series Analysis
In Data Science, Time Series Analysis is a method of analyzing data collected over an interval of time. Stock price data and covid-19 cases data are examples of time-series data. Time Series Analysis helps understand the underlying causes of trends…
Important Python Libraries for Data Science
There are so many Python libraries for data science out there today that you will get the simplest alternative of almost any library. As a data scientist, you need to keep improving your skills, so you need to keep learning…
Candlestick Chart using Python
A candlestick chart is a data visualization tool used to analyze the price movements of stocks, cryptocurrencies, currencies, and other financial instruments. If you work as a data scientist/analyst in the finance domain, a candlestick chart is one of the…
Count Length of a String using Python
Finding the length of a string means counting the number of letters in a string. Python has a built-in len() function for this task, but what if you get a coding interview question to find the length of a string…
AlexNet Architecture using Python
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.…
Data Science Project Ideas on Healthcare
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…
Best Books to Learn Python
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,…
Visualize Better Graphs with Matplotlib in Python
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…
How to Analyze a Candlestick Chart
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…
Detect Questions using Python
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…
Omicron Sentiment Analysis using Python
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,…
Machine Learning Projects on Multiclass Classification
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…
Best Data Science Books for Finance
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…
How to Analyze Correlation in Data Science
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,…
Useful Python Scripts
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…
How to Give Inputs to a Machine Learning Model
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…
Best Laptops for Data Science Students
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…
Data Science Books for Marketing Analysis
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…
Free GPU for Machine Learning
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…
Add Labels to a Dataset for Sentiment Analysis
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…
Drop Rows and Columns of a Pandas DataFrame in Python
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…
Product Demand Prediction with Machine Learning
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…
Recommendation System Project Ideas
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…
Best Books to Learn Data Visualization
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,…
Machine Learning Glossary
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…
Best Approaches for Sentiment Analysis
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…
Index of Maximum Value in a Python List
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…
Electricity Price Prediction with Machine Learning
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…
Tools I use Daily as a Data Scientist
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 Algorithms in Machine Learning
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…
Word Cloud from a Pandas DataFrame in Python
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…
Article Recommendation System with Machine Learning
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…
Best Books to Learn Data Analysis
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.…
Multiclass Classification Algorithms in Machine Learning
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…
Send Instagram Messages using Python
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…
Squid Game Sentiment Analysis using Python
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…
Best Resources to Learn Python
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…
Best Python Frameworks to Build APIs
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…
Voice Recorder using Python
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 with Machine Learning
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…
Best Books to Learn Computer Vision
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…
Multilayer Perceptron in Machine Learning
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…
For Loop Over Keys and Values in a Python Dictionary
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 Premium Prediction with Machine Learning
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…
Best Books to Learn NLP
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 Algorithms in Machine Learning
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…
Animated Scatter Plot using Python
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…
Tata Motors Stock Price Prediction with Machine Learning
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…
Best Books to Learn Deep Learning
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…
Use Cases of Different Machine Learning Algorithms
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…
Swap Items of a Python List
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 with Machine Learning
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…
Best Books to Learn Machine Learning Algorithms
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…
Recommendation Systems in Data Science
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…
Backward For Loop using Python
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…
Pfizer Vaccine Sentiment Analysis using Python
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…
Best Books for Data Structures and Algorithms
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…
LeNet-5 Architecture using Python
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…
Index of Minimum Value in a Python List
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…
News Classification with Machine Learning
You must have seen the news divided into categories when you go to a news website. Some of the popular categories that you’ll see on almost any news website are tech, entertainment, and sports. If you want to know how…
Best Kaggle Datasets to Practice Data Science
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 Tutorial in Python
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
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…
Comparison of Classification Algorithms in Machine Learning
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…
Best Data Science Cheat Sheets
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…
Mean Shift Clustering in Machine Learning
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…
Map Function in Python
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…
Number of Orders Prediction with Machine Learning
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…
GitHub Repositories to Learn Data Science
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 in Python
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 using Python
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…
Movie Rating Analysis using Python
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…
All Data Science Libraries
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…
Process of a Machine Learning Project
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…
Important Pandas Functions for Data Science
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 Elasticity of Demand using Python
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 Sentiment Analysis using Python
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…
Coding Projects for Resume
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…
Mini-batch K-means Clustering in Machine Learning
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 using Python
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 Stock Price Prediction with Machine Learning
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…
Best Python Libraries for Computer Vision
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…
Part of Speech Tagging in Machine Learning
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…
Range Function in Python
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 Prediction with Machine Learning
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 Extensions for Python
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 Tutorial in Python
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…
Python Program to Count Most Frequent Words in a File
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…
Machine Learning Projects on Binary Classification
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…
Important NumPy Functions for Data Science
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 Tutorial in Python
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…
Python Program to Count Capital Letters in a File
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 Detection with Machine Learning
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…
Best Python GUI Libraries
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…
Python Imaging Library (PIL) Tutorial
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…
Get Live Covid-19 Data using Python
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…
Water Quality Analysis
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…
Types of Jobs in Data Science
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…
Performance Evaluation Metrics in Machine Learning
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.…
Python Program to Remove Spaces
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…
Data Science Projects Based on Domains
The use of data science has grown so much today that there is no area today where data science cannot be used. There are so many domains that you might be interested in working on in the future. So if…
Data Science Business Ideas
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 in Machine Learning
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…
Python Program to Remove Odd or Even Numbers From a List
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.…