Uber is an American mobility-as-a-service provider that currently operates in 72 countries. Uber is also among the companies that use data and algorithms as a necessity for their business. So, if you want to know how Uber uses Data Science, this…
The excel sheet column title is one of the popular coding interview questions. Here we need to return the corresponding column title of an integer as displayed in an excel sheet. So, if you want to know how to solve…
Data Scientists and Machine Learning Engineers are Data Science professionals with different skillset and responsibilities. So, if you are confused about how a Data Scientist differs from a Machine Learning Engineer, this article is for you. In this article, I…
Credit card clustering is the task of grouping credit card holders based on their buying habits, credit limits, and many other financial factors. If you want to learn how to use clustering analysis to group credit card holders, this article…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are preparing for a job based on Machine Learning and confused about what kind of projects you should work on to mention in your resume, this…
In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you need…
The Single Number problem is one of the popular coding interview questions. Here you will be given an array of integers where each item appears twice except for one that we need to find. So, if you want to know how…
Regression analysis is a machine learning technique used to predict continuous values. Once you have trained a regression model to predict Continuous values based on the problem you are solving, it is valuable to evaluate the model’s performance. So, if…
A diamond is one of the most expensive stones. The price of diamonds varies irrespective of the size because of the factors affecting the price of a diamond. So, if you want to learn how to use your Data Science…
Python is one of the most popular programming languages today. The popularity and beginner-friendly nature of Python’s syntax have made it accepted in almost every domain worldwide. To get your first job as a Python developer, you need to work…
Python is one of the most popular programming languages today. It is preferred by Data Science professionals and Web Developers worldwide. There are a lot of free and paid courses on the internet to learn Python. So, if you are…
Palindrome words are words that are read the same backward as forward. For example, mom, dad, and madam are palindrome words. Validating palindrome words is one of the popular coding interview questions. So, if you want to learn how to…
Data Science is the combination of data mining and computer science. As the use of data has increased in every domain, Data Science is one of the highest-paying career options today. If you want to learn Data Science and looking…
Apple iPhones are among the top-selling smartphones worldwide. There is huge competition among smartphone brands in India, where you can get the latest technology in a smartphone at half the price of an iPhone. Still, there are high sales of iPhones…
Instagram is one of the most popular social media apps today. It contains valuable features for both content creators and consumers. There are many areas where Instagram uses Data Science to make it more helpful to its users. So, if…
Data Science is one of the highest-paid career options today. If you want to learn Data Science, you don’t need to spend a lot as there are so many free resources on the internet to learn Data Science. So, if…
Finding the best time to buy and sell stocks is one of the popular coding interview questions. Here we need to return the maximum profit we can achieve from buying and selling a stock. So, if you want to learn…
A recommendation system is a popular application of Data Science. Almost all the popular websites you visit use recommendation systems. As the name suggests, a news recommendation system is an application that recommends news articles based on the news a user is…
Business Forecasting is one of the popular applications of Data Science. In Business Forecasting, we use the data generated by the business to forecast the future sales, expenditure, or revenue of the company. If you are looking for some project…
In Machine Learning, we use data and algorithms to build intelligent systems. It doesn’t matter if you want to become a Machine Learning Engineer, Data Scientist, or Data Analyst. If you want any job in the Data Science field, you…
Pascal’s Triangle is one of the popular coding interview questions. It is asked in the coding interviews by FAANG companies many times. In Pascal’s Triangle problem, we need to return the number of rows of a Pascal’s Triangle. So, if…
Data Analysts and Business Analysts are Data Science professionals with different skillset and responsibilities. Both these professions are not completely different. So, if you are confused about how Business Analysts and Data Analysts are different, this article is for you.…
Business Forecasting is one of the applications of Time Series Forecasting. In Business Forecasting, we aim to forecast future sales, expenditure, or revenue by using the historical Time Series data generated by the business. So, if you want to learn…
A Business Analyst is a Data Science professional who uses the data generated by the business to analyze and forecast the performance of a business. If you are aiming for the role of a Business Analyst and want to know what…
MySQL is an open-source relational database management system. Knowing MySQL will always help you in your career in any field of computer science. So, if you are a MacBook user and want to know how to install MySQL on your…
Climbing Stairs is one of the popular coding interview questions. It is asked in the coding interviews by FAANG companies many times. In the climbing stairs problem, you need to count the number of distinct ways to climb to the…
Python is one of the most popular programming languages today. It is preferred by Data Science professionals and Web Developers worldwide. If you are someone who has just started learning Python or looking for a step-by-step roadmap to learn Python,…
Natural Language Processing (NLP) is a subset of Artificial Intelligence where we aim to train computers to understand human languages. Some real-world applications of NLP are chatbots, Siri, and Google Translator. While working on any problem based on NLP, we…
Working on Data Science projects is one of the best ways to improve your Data Science skills. It not only boosts your skills but also strengthens your resume. So, if you are a Data Science beginner and want to know how to…
A Data Engineer is a Data Science professional who collects, transforms, and process data according to the need of the business. Data Engineering is one of the most in-demand Data Science jobs. So, if you are aiming for the position…
Finding the square root of a number is asked in the coding interviews by FAANG companies many times. A square root is a number that produces the specified value when multiplied by itself. For example, 5×5 gives 25, so the square root…
Python has a vast collection of built-in modules we don’t learn while learning the fundamentals of Python. As a beginner, you don’t need to learn all the modules to become an expert in Python. So, if you want to know…
Password Strength Checker is an application that checks how strong a password is. Some popular password strength meters use machine learning algorithms to predict the strength of your password. So, if you want to learn how to use machine learning…
Apple is one of the most loved smartphone brands worldwide. Apple’s iPhone is known for productivity, user experience, and privacy. There are a lot of areas where Apple uses Machine Learning to improve the overall user experience of an iPhone.…
Data Science is a combination of data mining and computer science. It is one of the most in-demand career options in the industry. Still, many Data Science freshers struggle to get their first job as most companies look for experienced Data…
The Plus One problem is one of the popular coding interview questions. It is asked in the coding interviews by companies like FAANG many times. Here you need to increment the last digit of an array by one and return…
A Python Developer is one of the developers in the development team who works at the backend to create, design, debug and deploy applications using Python. If you are good at Python and looking for your first job as a…
The rent of a house depends on a lot of factors. With appropriate data and Machine Learning techniques, many real estate platforms find the housing options according to the customer’s budget. So, if you want to learn how to use…
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 the data to solve complex problems. So, if you are looking for courses that will…
Statistics means collecting, organizing, analyzing, interpreting, and presenting data. Statistics is one of the most valuable concepts for Data Science. A person with statistical background is preferred for the role of a Data Science professional. So, if you are looking…
Removing duplicate values from a sorted array is one of the popular coding interview questions. It is asked in coding interviews by companies like FAANG many times. Here you need to return an array of unique values by removing all the…
In Machine Learning, the concept of model evaluation means determining the performance of a Machine Learning model. To evaluate the performance of a Machine Learning model, we need to use model evaluation metrics. So, if you want to learn classification…
In Machine Learning, we use data and algorithms to build intelligent systems. There are a lot of free resources on the internet you can follow to learn Machine Learning. But some people like to learn from courses to learn everything…
Social Media applications are those applications where you get a collection of features based on communication, interaction, content creation, and collaboration. Facebook, Instagram, Youtube, and Twitter are some of the popular social media applications today. Every social media application uses Data…
Merging two sorted lists is one of the popular problems in Leetcode. It is asked in coding interviews by companies like FAANG many times. Here you need to return a sorted list by merging two sorted lists. So, if you…
Spam comments detection means classifying comments as spam or not spam. YouTube is one of the platforms that uses Machine Learning to filter spam comments automatically to save its creators from spam comments. If you want to learn how to…
Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. Data Analysis is so popular that you can learn everything about it without spending any money. But some people like to…
E-commerce is nothing but the buying and selling of goods and services over the internet. Amazon is one of the most popular e-commerce platforms in the world. So, if you want to know how E-commerce platforms use Data Science, this…
Longest Common Prefix is one of the popular problems in Leetcode. It is asked in coding interviews by companies like FAANG many times. Here you need to return the longest common prefix among all the strings in an array of…
A recommendation system is one of the popular applications of Data Science. A restaurant recommendation system is an application that recommends similar restaurants to a customer according to the customer’s taste. If you want to learn how to build a…
Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. So, if you are looking for a step-by-step guide to learning Data Analysis, this article is for you. In this…
Astronomy is the study of everything we see with the naked eye or discover from the telescope, satellites and other instruments in the universe. The instruments used to study the universe collect data in many forms. Scientists use this data…
Two Sum is a popular problem in Leetcode. It is often asked in coding interviews from companies like FAANG. Here you need to return the indices of integers from an array whose addition equals the target value. So, if you…
A recommendation system is one of the popular applications of Data Science. A Book Recommendation system is an application used to recommend similar books to a user. If you want to learn how to build a book recommendation system, this…
While learning a new programming language, it is valuable to solve practice questions. When you solve questions, it develops problem-solving skills. If you are learning Python and have completed the fundamentals of Python, your next step should be to solve…
Fintech means using technology to provide financial services. There are a lot of Fintech companies we take any finance service from daily. Some worldwide known examples of Fintech companies are Mastercard, Visa, Stripe, and Paypal. Data is considered the ABCD…
Finding the missing number in an array is a popular coding interview question. According to LeetCode, this question is popular in the interviews of companies like Amazon, Adobe, Microsoft, LinkedIn, and many more. If you want to learn how to…
Stock Market Analysis means analyzing the current and historical trends in the stock market to make future buying and selling decisions. Stock market analysis is one of the best use cases of Data Science in finance. So, if you want…
A Data Analyst analyzes data to gather valuable insights that can be used for decision-making and solving various business problems. The job of a Data Analyst can be different in every organization and every domain. But there are some responsibilities…
The activities a business performs to promote its products or services among the target population is known as Marketing. There are a lot of problems where Data Science is used in the marketing domain. So, if you want to know…
Grouping elements of the same indices means grouping elements of two or more data structures according to their indices. It is a tricky problem for beginners and can be asked in any coding interview. If you want to learn more…
Netflix is a subscription-based streaming platform that allows users to watch movies and TV shows without advertisements. One of the reasons behind the popularity of Netflix is its recommendation system. Its recommendation system recommends movies and TV shows based on…
Data Analysis is the process of analyzing data to gather valuable insights that can be used for decision-making and solving various business problems. There are many tools that you can use for Data Analysis. In this article, I will take…
If you visit some of the LinkedIn profiles of Data Science professionals, you will notice that most of them don’t have a master’s or a bachelor’s degree in Data Science. Most of them have engineering or statistical background. They don’t…
The number guessing game is a popular game among programmers. In the number guessing game, the program selects a random number between two numbers, and the user guesses the correct number. If you want to learn how to create a…
Website Traffic Forecasting means forecasting traffic on a website during a particular period. It is one of the best use cases of Time Series Forecasting. If you want to learn how to forecast traffic on a website, this article is…
Data science is a combination of data mining and computer science. Data plays an important role in every data science task. As a data science professional, you need to know what kind of data you are working with to solve…
Time Series Forecasting is the process of analyzing and modeling time-series data. It helps in forecasting the future behaviour of the market, which is helpful in the decision-making for every business. Some of the applications of Time Series Forecasting are…
While working on a Data Science task, sometimes we have to deal with textual data. One of the problems beginners face while working on a textual dataset is counting the number of words in a piece of text. So if…
Time Series Forecasting means analyzing and modeling time-series data to make future decisions. Some of the applications of Time Series Forecasting are weather forecasting, sales forecasting, business forecasting, stock price forecasting, etc. The ARIMA model is a popular statistical technique…
As a beginner in the Python programming language, you must have heard that the applications of Python are Data Science, Machine Learning, Data Analysis, Web Development, Automation, and even Robotics. But what are the existing applications of Python in the…
Salary is one of the most valuable factors in choosing a career. No one would like to prepare for a job that doesn’t pay well. So, if you are preparing for the role of a Data Science professional and want…
Emojis are used to express our emotions while writing a message or any piece of text. If you want to learn how to display emojis in the output using the Python programming language, this article is for you. In this…
Instagram is one of the popular social media applications today. People use Instagram to share photos and videos. One of the reasons behind the popularity of Instagram is its recommendation system. It helps in grabbing the attention of the user…
Web Scraping means collecting data from a web page. It is one of the techniques used by Data Science professionals to create datasets. Python has a collection of useful libraries for web scraping. If you want to know about those…
Data science is one of the highest paying career options today. There are many jobs in this field, some of the most popular of which are Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer. If you know you…
Seaborn is one of the best Python libraries for Data Visualization. It is built on top of Matplotlib. Unlike Matplotlib, Seaborn cannot be the only Data Visualization library in your skillset, but some visualizations look better and more understandable with…
There has been a high demand for online food orders after the introduction of Swiggy and Zomato in the market. Food delivery companies use your buying habits to make the delivery process faster. The food order prediction system is one…
The new MacBooks with the M1 processor provide so many specifications that are enough for every Data Science and Machine Learning professional. But if you have just purchased a MacBook, you have to create a virtual environment to prepare it…
Python is one of the best programming languages today. On macOS, Python is preinstalled and available to use. But people often find it hard to install the latest version of Python on macOS. So if you have just purchased a…
Correcting spellings in a piece of text is one of the handy features that can be used in any application where users write content. For example, if you want to create a notepad, it should have a feature to identify…
There is a lot of competition among the brands in the smartwatch industry. Smartwatches are preferred by people who like to take care of their fitness. Analyzing the data collected on your fitness is one of the use cases of…
If you are a beginner in Python, you must be using the IDLE code editor that comes with Python. There are many better code editors and tools you will need to use as a Python programmer. So, if you want…
Working on a data science project is one of the best ways of showing your skills in working with data. If you are a data science student, your university will ask you to submit a report on your data science project in…
Anagrams are words formed by rearranging the letters of another word, For example, car and arc, cat and act, etc. Grouping anagrams is one of the popular questions in coding interviews. So if you want to learn how to solve…
Sentiment analysis of reviews of a product or service helps businesses understand what their customers want from them. Analyzing the reviews is one of the primary use cases for sentiment analysis. If you’re looking for data science projects on sentiment…
Tinder is one of the most popular dating applications. It connects people having similar interests. To check whether Tinder helps people find partners, we can analyze the sentiments of people about Tinder. There are a lot of reviews on the…
TensorFlow is one of the most powerful frameworks for Machine Learning. It was created by Google and used by companies like Airbnb, Spotify, and Google. So if you are looking for the best resources to learn TensorFlow, this article is…
Python is one of the most valuable programming languages in the industry. It is preferred by data science professionals and web developers. If you are looking for a complete course to learn Python, this article is for you. This article…
Many computer science students look for programming project ideas in their final year. Your final year project should be on a real-time problem. So if you are a final year student and looking for some Python project ideas, this article…
MNIST Digits classification is one of the popular case studies in the data science community. It is based on the problem of Classification in Machine Learning. If you are a beginner in Machine Learning, you must try to solve this…
One of the tasks while solving a machine learning problem using Python is to convert a Pandas DataFrame to a NumPy array. A pandas DataFrame is a DataFrame object that we use to work with data, and a NumPy array…
Data Science is one of the highest-paid career options today. It is so popular that you can learn everything about data science without spending any money. But some people like to choose a paid course over free resources as we…
Rock Paper Scissors is a hand game usually played between two people. In this game, scissors can beat paper, paper can beat rock, and rock can beat scissors. If you want to learn how to create a rock paper scissors…
Data Analysis is the process of analyzing a large amount of data to find relationships between different features in the data. If you are a final year student of business analysis or data analysis and looking for some data analysis…
Analyzing a player’s performance is one of the use cases of Data Science in sports analytics. Virat Kohli is one of the most famous cricketers in the world. So it will be a great data science project if we analyze…
As a Data Science Professional, it is valuable to learn about using cloud computing platforms like Google Cloud Platform (GCP) or Amazon Web Services (AWS) for Data Science. So if you want to know how to learn Google Cloud Platform…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning and looking for a certification or course to learn and get certified in machine learning, this article is for you. In…
Web scraping is one of the most valuable skills every coder should have. If you want to learn how to collect data from GitHub using web scraping techniques, this article is for you. In this article, I will take you…
Sports Analytics is the task of analyzing sports data. It includes player performance analysis, analysis of all game highlights, data storytelling and summary of a sports tournament, comparison of strengths and weaknesses of teams and players, etc. So, if you’re…
Every sporting event today generates a lot of data about the game, which is used to analyze the performance of players, teams, and every event of the game. So the use of data science is in every sport today. Currently,…
As a data science professional, it is important to learn how to use cloud computing platforms like Amazon Web Services or Google Cloud Platform for data science. So, if you want to know how to learn Amazon Web Services for…
As a beginner in data science, the choice of topics for data science projects depends on the ease of availability of datasets. Sometimes students think about unique topics, but they can’t find a dataset for their project. So if you…
Text generation involves generating text using machine learning techniques. The purpose of text generation is to automatically generate text that is indistinguishable from a text written by a human. If you want to learn how to generate text with Python,…
Data Science is one of the best career options in this data-driven world. There are a lot of technical skills required to work as a data science professional in any domain. If you are learning Data Science and are looking…
Student marks prediction is a popular data science case study based on the problem of regression. It is a good regression problem for data science beginners as it is easy to solve and understand. So if you want to learn…
Power BI is a data visualization tool from Microsoft. It lets us easily connect to data and visualize it to discover necessary insights. As a data science professional, you must know Power BI or Tableau. So, if you are looking…
Data analysis means working with data to gather the information which can be used for decision making and solving various business problems. There are many free resources on the internet for learning data analysis. But if you are looking for…
A list is a collection of items provided by the Python programming language, whereas a dictionary in Python is used to store data into key and value pairs. If you want to learn about converting two Python lists into a…
The use of data science is in all fields today. Economics is one of the fields in which we study the growth of a country by understanding the data on the economic factors of a Country. So, if you want…
The outbreak of Covid-19 resulted in a lot of restrictions which resulted in so many impacts on the global economy. Almost all the countries were impacted negatively by the rise in the cases of Covid-19. If you want to learn…
Tableau is one of the most popular data science tools used for data visualization and analysis. If you want to become a data scientist, you need to know how to use Tableau. So if you’re looking for some of the…
Python has been one of the best programming languages for a long time now. It is preferred by data science professionals and web developers around the world. Many companies need skilled Python developers. If you want to get a job…
Sometimes a Python developer needs to collect some text information from PDF files. So extracting text from a PDF is a problem you should know how to solve as a Python developer. If you want to learn how to extract…
In Machine Learning, we use data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve…
TikTok is one of the most popular social media apps today. It is famous for its short videos. People often use this app to watch entertaining and funny videos. Despite its entertaining content, this application is not liked by everyone.…
Data Science certifications are all about certifying whether a person knows how to work with data or not. Although if you have a good list of projects in your portfolio, you don’t need any data science certification. Having a certification…
A Python developer can work as a web developer, API developer, data analyst, and sometimes a developer who writes reusable code for the complete team of developers. The role of a Python developer may differ from company to company, but…
A linear relationship is a statistical term that is nothing but the relationship between two variables. A linear relationship shows how well two variables x and y are related to each other. As a data science professional, you should know…
Many beginners in data science are often confused about what job role they should prepare for. People who are starting to learn data science have either an engineering background, a statistical background, or a non-computer background. Each person has their…
Clustering is a machine learning technique to group data points characterized by specific features. Clustering music genres is a task of grouping music based on the similarities in their audio characteristics. If you want to learn how to perform clustering…
Many data science beginners can solve any data science problem by following a tutorial, but they often struggle to solve a new data science problem. It’s not easy for beginners to start solving a problem when they see a new…
Natural language processing (NLP) is a subfield of artificial intelligence and computer science. NLP is the process of processing and analyzing natural language data to create intelligent applications that can understand human languages. Like machine learning, Python is also preferred…
Mean, Median and Mode are the fundamentals of statistics used in almost every domain where we deal with numbers. Python is one of the best programming languages for numerical calculations. So you should know how to calculate mean, median and…
SQL is one of the most important skills for data science professionals. Most data science beginners don’t focus on learning SQL as much as on learning Python. SQL is as important as Python for data science, especially if you’re looking…
Covid-19 is one of the deadliest viruses you’ve ever heard. Mutations in covid-19 make it either more deadly or more infectious. We have seen a lot of deaths from covid-19 while there is a higher wave of cases. We can…
Python is one of the best programming languages today. It is preferred by web developers and data science professionals around the world. When we learn a new programming language, it is important to work on some basic projects to improve…
In Python, Break and Continue are statements executed inside a loop. These statements either skip according to the conditions inside loops or terminate loops at a point. If you want to learn all about the Break and Continue expressions in…
Matplotlib is one of the most preferred Python libraries for data visualization. If you are learning data science, you must be aware of the kinds of data visualizations you need to work with. In this article, I will not focus…
Data Analysis is one of the best career options for someone who is not from a computer science background and still wants to build a career as a Data Science professional. As data analysis is a popular field today, you…
Instagram is one of the most popular social media applications today. People using Instagram professionally are using it for promoting their business, building a portfolio, blogging, and creating various kinds of content. As Instagram is a popular application used by…
Python is one of the most popular programming languages for a long time now. There are so many big tech companies that are using Python. It’s easy to learn and implement Python, that is why so many developers are choosing…
If you are a Data Science student, you must have found it hard to choose a topic for creating your first data science project as a beginner. Some universities give a list that you can choose from, while some universities…
A string is a sequence of characters enclosed in single or double-quotes. String inversion is one of the most common problems in computer science. Here we need to reverse the characters of a string. So, if you want to learn…
In machine learning, we use data and algorithms to build intelligent systems. Companies use machine learning to make their systems and applications smart enough to give a better user experience to the customers. As machine learning is a popular skill,…
Today is the 19th day of war between Russia and Ukraine. Many countries are supporting Ukraine by introducing economic sanctions on Russia. There are a lot of tweets about the Ukraine and Russia war where people tend to update about…
Data science is one of the highest paying career options in this data-driven world. Every company now makes decisions based on the data generated by its business. A company, therefore, needs skilled data science professionals to turn raw data into…
Machine Learning is a branch of Artificial Intelligence where we use data and algorithms to build intelligent systems. It is one of the highest-paid skills in the industry today. If you want to learn machine learning, you should know that…
Web Scraping is one of the skills that every data science professional should know. Sometimes the data we need is available on a website in the form of a table which cannot be downloaded directly from the website. To use…
As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills. If you’re struggling…
Breast cancer is one of the types of cancer that starts in the breast. It occurs in women, but men can get breast cancer too. It is the second leading cause of death in women. As the use of data…
YouTube is one of the platforms where millions of people can learn anything for free, as there are so many content creators on YouTube that create valuable content for its audience. So if you are learning data science and looking…
If you are new to machine learning, you have to choose a programming language to learn machine learning and implement it on data. Python is one of the most preferred programming languages for machine learning. So if you want to…
SequenceMatcher is a class in Python available in the difflib module, which provides functions for comparing sequences in two different pieces of text. So whenever you want to compare two text files, you can explore the difflib module in Python.…
Data Visualization is one of the most important skills that every data scientist should have. Data visualization helps in analyzing data by summarizing the data into graphs, which helps understand the story behind the numbers. There are so many tools…
Predicting the future sales of a product helps a business manage the manufacturing and advertising cost of the product. There are many more benefits of predicting the future sales of a product. So if you want to learn to predict…
You must have seen a lot of people in the data science community using Python often and promoting the use of Python for data science. So is it just their biases with Python or it is best for Data Science?…
Data Structures and Algorithms are the pillars of every coding interview. Most coders learn the essential data structures and algorithms but still fail to crack coding interviews. So what you should do is solve various problems based on data structures…
CSV (Comma Separated Values) files are the most commonly used file format for importing and exporting big datasets. The reason why a CSV file is preferred over an Excel file is that a CSV file consumes less memory as compared…
Data science is used in all fields today. Whether it’s social media, marketing, or anything else you’ve heard of, data science is used everywhere. Finance is one of the important domains in the industry, and it also depends on data…
The introduction of online payment systems has helped a lot in the ease of payments. But, at the same time, it increased in payment frauds. Online payment frauds can happen with anyone using any payment system, especially while making payments…
An algorithm is a sequence of steps to solve a problem. In computer science, the efficiency of an algorithm depends on how well it organizes data appropriately. The organization of data to solve a particular problem is known as a…
Python has been one of the highest demanded programming languages for the past five years in the industry. Almost every popular website uses Python either in the front-end or the back-end. So if you want to know about some of…
If you are learning Data Science and find it hard to create a dataset for practice from scratch, you can either download a dataset from Kaggle or create fake data. If you want to learn how to create a dummy…
Variance, covariance, and correlation are statistical measures for finding the relationship between data points in a dataset. If you are learning data science, you need to understand these terms. So if you want to learn more about variance, covariance, and…
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product…
Most students learn coding to get a job. But sometimes it takes a long time to complete the courses and other skills required to get your first job. So what should you do as a student if you want to…
The execution or running time of the program indicates how quickly the output is delivered based on the algorithm you used to solve the problem. To calculate the execution time of the program, we need to calculate the time taken…
Whenever you have seen a roadmap to learn data science, you must have found people often highlighting Python or R. Python and R are the most popular programming languages among the data science community. But just having the practical knowledge…
Netflix is one of the most popular OTT streaming platforms. It offers a vast collection of television series and films and owns its productions known as Netflix Originals. People who are highly active in stock market investments always keep an…
Sentiment analysis means extracting, identifying, or classifying sentiment from text using natural language processing. It is also known as opinion mining. If you’re looking for some of the best sentiment analysis project ideas, this article is for you. In this…
There are so many code editors for Python that you can use as a student or a professional Python developer. If you want to know about the best code editors for Python, this article is for you. In this article,…
Cuss Words are the words that make your language sound very impolite, rude, and culturally offensive. Sometimes we need to identify and remove cuss words from a piece of text. So if you want to learn to remove cuss words,…
Tipping waiters for serving food depends on many factors like the type of restaurant, how many people you are with, how much amount you pay as your bill, etc. Waiter Tips analysis is one of the popular data science case…
Text classification is a machine learning technique used to classify texts based on predefined labels. For example, classifying languages based on a dataset containing different languages with predefined labels. Text classification is used in various problems of natural language processing…
Finding duplicate values from an array or any other data structure is one of the popular coding interview questions that you can get in any coding interview. The Python programming language provides many inbuilt functions to find the duplicate values,…
There are so many popular programming languages you can learn. Some languages will help you get your first job, while others can help you land your desired job role. So which programming languages should you learn in 2022? In this…
Data Science is one of the best and most competitive careers today. To work as a data science professional in any field, you need to work on projects that showcase most of your skills and approaches to solving business problems.…
You must have heard about some machine learning algorithms before, but most beginners often get confused about how many machine learning algorithms they need to learn when they see professionals using algorithms (specifically in Kaggle) that they haven’t heard about…
A histogram contour plot is a two-dimensional representation of a histogram that looks like a contour plot. It is used to analyze anomalies and manage overplotting in a large dataset. If you don’t know how to visualize a histogram contour…
Decoding a QR code means finding the value, number, text or link behind the QR code. There are many ways to decode a QR code used by your smartphone cameras, which helps you scan a QR code while making online…
Time series analysis means analyzing and finding patterns in a time series dataset. A time-series dataset is a sequence of data collected over an interval of time. Stock price data, monthly sales data, daily rainfall data, hourly website traffic data…
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 is one of the most popular programming languages today. In 2022, Python will be used more in the industry with programming languages like Golang and JavaScript. If you are looking for a job as a Python developer, the first…
Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language…
A time-series graph is a line plot that displays trends or patterns over a dataset collected over an interval of time. For example, when you visualize a line plot of the daily sales made by a business, you are visualizing…
A QR Code is a scannable code used to store information. QR codes are used to redirect you to a specific page or to show you some information. You must have scanned QR codes once in your life when making…
In machine learning, classification means categorizing the known classes, For example, categorizing the most profitable and non-interested customers from a dataset for advertising a particular product. You must have trained a classification model with a machine learning algorithm before. Here…
Time series analysis is one of the most important topics in data science. Time series data is a sequence of data points collected and indexed based on an interval of time, and when we analyze such data to find patterns…
A neural network is a computational architecture that connects an input layer to the output layer. Learning about Neural Networks will not only help you in solving complex Deep Learning problems but will also help you do better in an…
A neural network is a computational structure that connects an input layer to an output layer. This computational structure is used in training deep learning models that can easily outperform any classical machine learning algorithm. As a data science beginner,…
Visualizing data is one of the most valuable skills every Data Scientist and Analyst should have. There are a lot of data visualizations to learn in data science. So if you are a beginner in data science and want to…
Tokenization is the first step you should perform after collecting a textual dataset in every problem based on Natural Language Processing. Sentence and Word tokenization are two different strategies of tokenization that you should know. In this article, I will…
LSTM stands for Long Short Term Memory Networks. It is a type of recurrent neural network that is commonly used for regression and time series forecasting in machine learning. It can memorize data for long periods, which differentiates LSTM neural…
Facebook is one of the most popular social media platforms that owns other popular social media platforms like Instagram and WhatsApp. Facebook is one of those companies where every software engineer and data scientist wants to work. If you want…
Deep Learning is a subset of machine learning that mimics the human brain to solve complex problems. Deep Learning is used to train computers to perform tasks where humans are good at, but computers are not. If you are learning…
Deep Learning is a subset of machine learning where we need a large amount of data to train powerful models capable of finding relationships in data to solve complex problems. While machine learning algorithms can also be used to train…
A machine learning algorithm is used to find relationships between features and labels. Features are the independent variables that we feed into an algorithm to train a machine learning model, and labels are the dependent variables that we aim to…
Query data means requesting specific data from a dataset. If you are familiar with SQL, you must know what it means to query data, but if you use the pandas library in Python, you can still query data from your…
You must have heard or invested in any cryptocurrency once in your life. It is a digital medium of exchange that is encrypted and decentralized. Many people use cryptocurrencies as a form of investing because it gives great returns even…
You must have heard that JavaScript is currently the most popular programming language, and Python is one of the popular languages among Data Scientists. Just like that, every programming language is being used in the industry somewhere it is best.…
In Data Science, Time Series data is a sequence of data points collected and indexed according to time. When we analyze such kinds of data to find patterns over an interval of time, it is known as Time Series Analysis.…
The activation function is a function used in neural networks to calculate the weighted sum of inputs and biases, which is used to determine whether a neuron should be activated or not. You must have heard a lot about activation…
A box plot is a statistical data visualization technique for analyzing the distribution and patterns of numerical data points of a dataset. It represents quartile 1, quartile 3, median, maximum and minimum data points of a feature which helps to…
As machine learning practitioners, we need to collect stock price data for regression analysis and time series analysis. We can easily download it from Yahoo Finance. But imagine if we want to create an application where we can analyze the…
Stress, anxiety, and depression are threatening the mental health of people. Every person has a reason for having a stressful life. People often share their feelings on social media platforms like on Instagram in the form of posts and stories,…
Data Analysis is the process of working with data to gather useful insights that can be used for decision making and solving various business problems. Most of the success stories you hear about companies today are because they have a…
In Data Science, Time Series Analysis is a method of analyzing data collected over an interval of time. Stock price data and covid-19 cases data are examples of time-series data. Time Series Analysis helps understand the underlying causes of trends…
There are so many Python libraries for data science out there today that you will get the simplest alternative of almost any library. As a data scientist, you need to keep improving your skills, so you need to keep learning…
A candlestick chart is a data visualization tool used to analyze the price movements of stocks, cryptocurrencies, currencies, and other financial instruments. If you work as a data scientist/analyst in the finance domain, a candlestick chart is one of the…
Finding the length of a string means counting the number of letters in a string. Python has a built-in len() function for this task, but what if you get a coding interview question to find the length of a string…
AlexNet is a popular convolutional neural network architecture that won the ImageNet 2012 challenge by a large margin. It was developed by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton. It is similar to the LeNet-5 architecture but larger and deeper.…
The role of a Data Scientist, in general, is to convert raw data into actionable insights by understanding the purpose of a business. Just like that, a data scientist working in healthcare is supposed to solve problems with data generated…
Python is one of the most popular programming languages today. As it is an open-source programming language, so many contributors contribute to Python to allow it for endless possibilities. This is what makes Python useful for web development, Database access,…
Matplotlib is a data visualization library in Python that is primarily the very first data visualization library that any newbie to data science learns. One of the advantages of matplotlib is that it is used in the industry by data…
A candlestick chart is a data visualization tool used to analyze the price movements of stock prices, currencies, and other financial instruments. It is often used in stock price analysis by stock traders and financial analysts. Many financial analysts and even data science beginners…
Detecting questions means identifying whether a sentence is interrogative or not. We can also use machine learning to detect questions, but since we all know the type of sentences we see in an interrogative sentence, it is also possible to…
A few days ago, the WHO designated a new variant of the coronavirus, B.1.1.529, as a variant of concern which has been named Omicron. Right after that, we saw an outbreak of tweets about the Omicron variant on Twitter. So,…
In machine learning, multiclass classification is the problem of classifying between more than two classes. It is also known as multinomial classification. Simply put, when the target column in your dataset contains more than two classes, then you are working…
Financial analysis is one of the important tasks for every business. The use of data science in finance helps solve many business problems involving stock markets, risk analysis, hypothesis testing, fraud detection, risk management, credit allocation and algorithmic trading. If…
Correlation is one of the most important statistical terms used in data science. It is used to measure the intensity of relationships between variables. If you know how to calculate correlation in data science but don’t know to analyze it,…
There are some pieces of scripts or code that we generally use in the middle of several tasks daily. For example, whenever I work on a sentiment analysis task, I always use one common script to clean the text column…
One of the mistakes data science newbies make while working on a machine learning project is that they train a machine learning model, check its accuracy score, and then complete the project. They do not test the performance of the…
If you are new to data science or planning to start learning data science, you should know that you need to have a laptop that meets all the minimum requirements for data science tasks. As a data science student, you…
Marketing analysis is the process of identifying your potential customers and their buying and spending habits. It helps identify the perfect group of potential customers to market for a particular product or service. The use of data science in marketing…
A data scientist or machine learning engineer often needs the power of GPU to perform powerful calculations using deep neural network architectures. As a data science professional, you will have access to powerful laptops by your company itself, but as…
A data scientist has to spend a lot of time preparing a dataset for any data science task because the data we get has a lot of errors, and sometimes it is not labeled. Adding labels to a dataset is…
Dropping rows and columns from a dataset helps in preparing the data so that we can filter the data for better understanding. When we are working on a data science task, we store the data in a Pandas DataFrame, and…
You must have studied that the demand for a product varies with the change in its price. If you take real-world examples, you will see if the product is not a necessity, then its demand decreases with the increase in…
A recommendation system is a data science application used by almost every platform today to recommend content to its users. Having recommendation system projects on your resume will help you get shortlisted in your preferred data science role. So if…