Category Machine Learning

Feature Selection using Python

Feature Selection using Python

In Machine Learning, Feature Selection is the process of choosing a subset of relevant and significant features (variables or attributes) from features available in a dataset. The goal of selecting features is to improve the performance of a Machine Learning…

Types of Data Visualization Techniques

Types of Data Visualization Techniques

Data Visualization is a critical aspect of data science and analytics. It refers to presenting data in graphical or visual formats, such as charts, graphs, and maps, to help people understand the patterns, trends, and insights hidden within large and…

Data Manipulation using Python

Data Manipulation using Python

Data manipulation is a fundamental process in data science that involves making changes, transformations, or adjustments to raw data to prepare it for analysis. This process is critical because real-world data is often messy, incomplete, or in a format that…

Here’s How Data Professionals use Cloud Platforms

How Data Professionals use Cloud Platforms

Cloud platforms, also known as cloud computing platforms, are comprehensive services provided by technology companies like Amazon, Microsoft, Google, and IBM, among others. These platforms offer a wide range of computing resources, including servers, storage, databases, networking, analytics, Machine Learning,…

Air Quality Index Analysis using Python

Air Quality Index Analysis using Python

Air quality index (AQI) analysis is a crucial aspect of environmental data science that involves monitoring and analyzing air quality in a specific location. It aims to provide a numerical value representative of overall air quality, essential for public health…

Feature Engineering using Python

Feature Engineering using Python

Feature Engineering is a critical step in solving a Data Science problem that involves creating or selecting the most relevant and informative features (input variables) from raw data. These features are then used to train machine learning models, so the…

Data Storytelling Guide

Data Storytelling Guide

Data storytelling is a compelling way of communicating insights and information derived from data by constructing a narrative around it. It involves presenting data-driven findings in a clear, engaging, and relatable manner, similar to how a storyteller weaves a tale.…

Dating Recommendations using Python

Dating Recommendations using Python

Dating Recommendation refers to using data-driven techniques to provide personalized matchmaking suggestions to individuals seeking partners through online dating platforms. These recommendations are based on various factors and preferences, aiming to increase the likelihood of successful and compatible matches. If…

Ridge and Lasso Regression

Ridge and Lasso Regression

In Machine Learning, Ridge and Lasso Regression are regularization techniques used in linear regression to prevent overfitting and improve the model’s generalization to unseen data. They work by adding a penalty term to the linear regression loss function. If you…

Fitness Watch Data Analysis using Python

Fitness Watch Data Analysis using Python

Fitness Watch Data Analysis involves analyzing the data collected by fitness wearables or smartwatches to gain insights into users’ health and activity patterns. These devices track metrics like steps taken, energy burned, walking speed, and more. So, if you want…

User Engagement Analysis using SQL

User Engagement Analysis using SQL

Questions like User Engagement Analysis are popular SQL questions in Data Science interviews. To solve this problem, you have to analyze user engagement to find the most engaging posts and users based on the given conditions. So, if you want…

Machine Learning Algorithms Guide

Machine Learning Algorithms Guide

Machine Learning means using data and algorithms to build intelligent systems. Machine Learning algorithms are computational procedures that enable machines to learn patterns and relationships from data without being explicitly programmed. These algorithms allow machines to make predictions, decisions, and…

Data Science Project Ideas on Supply Chain

Data Science Project Ideas on Supply Chain

Supply Chain involves coordination among various entities, such as suppliers, manufacturers, distributors, retailers, and customers, to optimize the process to minimize costs, enhance quality, and meet customer demands. If you are aiming for a Data Science job in retail, manufacturing, logistics,…

Finance Concepts for Data Science

Finance Concepts for Data Science

In the Finance industry, various institutions and entities come together to facilitate financial transactions, manage risks, allocate resources, and make informed decisions, including commercial banks, investment banks, asset management firms, insurance companies, stock exchanges, regulatory bodies, and more. If you…

Anomaly Detection in Transactions using Python

Anomaly Detection in Transactions using Python

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour. If you want to learn…

Marketing Concepts for Data Science

Marketing Concepts for Data Science

Marketing is a strategic and dynamic process to promote products or services to a target audience. It involves activities that create awareness, generate interest, and influence consumer behaviour. If you are aiming to work as a Data Science professional in…

Hyperparameter Tuning in Machine Learning

Hyperparameter Tuning in Machine Learning

Hyperparameter tuning is an essential process in Machine Learning that involves optimizing the settings that guide the training of a Machine Learning model. But these settings themselves are not learned from the data. These settings, called hyperparameters, play a vital…

Web Data ETL Pipeline using Python

Web Data ETL Pipeline using Python

A Web Data ETL (Extract, Transform, Load) pipeline is a systematic process used in data engineering to collect, transform, and load data from various sources on the internet into a structured and usable format for analysis and storage. So, if…

Data Cleaning using Python

Data Cleaning using Python

Data cleaning, also known as data cleansing or scrubbing, is a crucial step in data preparation and analysis. It refers to the systematic and meticulous identification, correction, and removal of errors, inconsistencies, and inaccuracies from data. The main objective of…

Netflix Subscriptions Forecasting using Python

Netflix Subscriptions Forecasting using Python

Forecasting the number of subscriptions Netflix will achieve in a time period is a vital business practice that enables them to plan, strategize, and make data-driven decisions. It enhances operational efficiency, financial planning, and content strategy, ultimately contributing to their…

Average Selling Price using SQL

Average Selling Price using SQL

Questions like calculating the average selling price of various products are popular SQL questions in Data Science interviews. The average selling price is calculated by adding up all the selling prices of a specific product and dividing the total by…

Plotly for Data Science

Plotly for Data Science

Plotly is a powerful and versatile data visualization library used by Data Science professionals to create interactive and visually appealing plots, charts, and graphs. It enables users to represent complex datasets in a graphical form, making it easier to comprehend…

API-Based Data Science Project Ideas

API-Based Data Science Project Ideas

If you are looking for your first data science job, you need advanced and unique projects mentioned in your resume. A data science professional works with APIs to collect real-time data from company databases and third-party applications. Having at least…

Music Recommendation System using Python

Music Recommendation System using Python & Spotify API

A Music Recommendation System is an application of Data Science that aims to assist users in discovering new and relevant musical content based on their preferences and listening behaviour. Personalized music recommendations have become an essential tool in the digital…

Data Analyst Roadmap

Data Analyst Roadmap

Data analysis is the systematic process of inspecting, cleaning, transforming, and interpreting raw data to uncover meaningful patterns, trends, and insights. A data analyst is a Data Science professional skilled in working with data and equipped with the necessary tools…

Here’s How Amazon Recommendation System Works

How Amazon Recommendation System Works

Recommendation systems are one of the popular applications of Data Science in every domain. The recommendation system of Amazon works by using both collaborative filtering and content-based filtering techniques. Amazon uses collaborative filtering to analyze user behaviour and recommend products…

A/B Testing of Themes using Python

A/B Testing of Themes using Python

Many web platforms and applications perform A/B testing to run experiments to find the best design, layout, or themes for their platform. Instead of relying on assumptions or hunches, applications and websites can test different design variations on real-time users…

Data Analysis Projects using Python

Data Analysis Projects using Python

Data Analysis means understanding the story behind the numbers. It is a systematic process of examining, cleaning, transforming, and interpreting raw data to uncover the story behind the data points. If you are learning Data Analysis, one of the best…

Matplotlib for Data Science

Matplotlib for Data Science

Matplotlib is a popular data visualization library for Python. It provides functions and tools enabling data scientists to create various plots and charts. Matplotlib allows data scientists to create high-quality visualizations that effectively communicate insights and patterns hidden within the…

Machine Learning Projects using Python

Machine Learning Projects using Python

A Machine Learning Engineer uses 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 problems. If…

Python and R Libraries for Data Science

Python and R Libraries for Data Science

Python and R are preferred languages for data science due to their rich ecosystem of libraries, extensive community support, and powerful tools for statistical analysis, data manipulation, machine learning, and visualization. You can choose either Python or R for Data…

Pandas for Data Science

Pandas for Data Science

Pandas is a powerful open-source library in Python that provides high-performance data manipulation and analysis tools. Pandas enhances the productivity and efficiency of Data Science professionals by providing a comprehensive set of tools for data manipulation, analysis, and exploration. Its…

User Engagement Analysis using Python

User Engagement Analysis using Python

User Engagement Analysis is a data-driven approach to assess and understand user involvement, interaction, and satisfaction with a product, service, or platform. It involves analyzing various metrics and behavioural patterns to gain insights into user behaviour and preferences. It aids…

Data Engineering Project Ideas

Data Engineering Project Ideas

Data Engineering focuses on the foundational aspects of managing and processing data, providing the necessary infrastructure and pipelines to support Machine Learning and Analytics workflows. It ensures that data is reliable, accessible, and processed efficiently to enable data-driven decision-making and…

Market Analysis using SQL

Market Analysis using SQL

Market Analysis is a popular SQL question in Data Science interviews. It is often asked to understand your ability to manipulate and analyze data using SQL operations such as filtering, aggregating, sorting, and joining tables. So, if you want to…

NumPy for Data Science

NumPy for Data Science

NumPy, which stands for Numerical Python, is a powerful library in Python providing support for large, multi-dimensional arrays and matrices, along with a vast collection of mathematical functions to operate on these arrays. It serves as a fundamental building block…

Data Science Tools Used in the Industry

Data Science Tools Used in the Industry

There are various Data Science tools used in the industry. The usage of different data science tools across companies and professions stems from the diverse nature of their data, objectives, and roles within the industry. Companies, ranging from small startups to large…

What is Market Basket Analysis

What is Market Basket Analysis?

Market basket analysis is a Data Science concept that aims to understand customers’ buying habits to uncover associations and relationships between products. It focuses on analyzing the contents of customers’ shopping carts to identify frequently purchased items together. If you…

User Activity Analysis using SQL

User Activity Analysis using SQL

The problem of User Activity Analysis is a popular SQL question in Data Science interviews. It involves extracting and analyzing the user activity data within the designated timeframe of the number of given days. So, if you want to know…

What is RFM Analysis in Data Science

What is RFM Analysis in Data Science

RFM analysis stands for recency, frequency, and monetary value analysis. It is a data science concept used in marketing and customer relationship management. It involves analyzing customer behaviour and segmenting customers based on their transactional history, specifically focusing on three…

Here’s How Nike Uses Data Science

How Nike Uses Data Science

Nike is an American multinational corporation engaged in the design, development, manufacture, marketing and worldwide sale of footwear, apparel, sports equipment, accessories and services. There are many ways how Nike uses Data Science to stay ahead of its competitors worldwide.…

Product Sales Analysis using SQL

Product Sales Analysis using SQL

The problem of product sales analysis is a popular SQL question in Data Science interviews. It involves analyzing product sales and identifying top-selling products based on total revenue. So, if you want to know how to solve this problem, this…

RFM Analysis using Python

RFM Analysis using Python

RFM Analysis is used to understand and segment customers based on their buying behaviour. RFM stands for recency, frequency, and monetary value, which are three key metrics that provide information about customer engagement, loyalty, and value to a business. So,…

What is Customer Segmentation

Customer Segmentation

Customer Segmentation is used to divide a company’s customer base into distinct groups based on common characteristics. It helps companies better understand their customers. If you want to understand Customer Segmentation and how Data Science professionals use this technique, this…

Find Top Performing Ads using SQL

Find Top Performing Ads using SQL

The problem of finding top-performing ads is a popular SQL question in Data Science interviews. It involves analyzing ad performance and identifying top-performing ads based on click-through rate (CTR). So, if you want to know how to solve this problem,…

Hybrid Recommendation System using Python

Hybrid Recommendation System using Python

A hybrid recommendation system is a recommendation technique that offers a complete and balanced approach by mixing two or more recommendation techniques. It aims to provide more accurate, diverse and personalized recommendations to users leveraging the strengths of different techniques…

What is EDA in Data Science

What is EDA in Data Science

Exploratory data analysis (EDA) is a Data Science concept where we analyze a dataset to discover patterns, trends, and relationships within the data. If you want to understand Exploratory Data Analysis, this article is for you. In this article, I will…

Here’s How H&M Uses Data Science

How H&M uses Data Science

H&M is a Sweden-based multinational clothing company that focuses on fast fashion clothing for men, women, teens and children. It is one of GenZ’s favourite brands worldwide. There are many ways in which H&M uses data science to keep its…

Business Analyst Roadmap

Business Analyst Roadmap

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, design and manage the creation of new data products, and bridge the gap between business stakeholders and…

Loan Approval Prediction using Python

Loan Approval Prediction using Python

Loan Approval Prediction is one of the problems that Machine Learning has solved in fintech businesses like banks and financial institutions. Loan approval prediction means using credit history data of the loan applicants and algorithms to build an intelligent system…

Transpose Matrix using Python

Transpose Matrix using Python

Transpose Matrix is one of the popular problems in coding interviews. This problem requires you to manipulate a matrix by flipping its rows and columns. So, if you want to know how to transpose a matrix, this article is for…

Here’s How SVM Algorithm Works

How SVM Algorithm Works

Support Vector Machine (SVM) is a popular supervised learning algorithm used for classification and regression problems in Machine Learning. The basic idea behind SVM is to find a decision boundary that separates data points of different classes with the maximum…

What is A/B Testing in Data Science

What is A/B Testing in Data Science

A/B Testing is one of the real-world concepts you need to know as a Data Science professional. A/B Tests help businesses compare two different options or strategies, such as two different advertisements or website designs, to see which performs better…

Buddy Strings using Python

Buddy Strings using Python

Buddy Strings is a popular problem in coding interviews. In this problem, you need to check if it is possible to get two strings, different from exactly a swap of two letters. So, if you want to learn how to…

Binary Search using Python

Binary Search using Python

Binary Search is an algorithm used to find an element in a sorted array by repeatedly dividing the search interval in half. In coding interviews, there is always a question on any search algorithm. So, if you want to learn…

Set Mismatch using Python

Set Mismatch using Python

Set Mismatch is a popular question in coding interviews. In this problem, you need to find two numbers in an array that are missing or duplicated. So, if you want to know how to solve this problem using Python, this…

What are Data Driven Business Models

Data Driven Business Models

Data-driven business models are the types of business models in which data is used for overall business operations. Most big tech product companies you hear about today have data-driven business models. So, if you want to understand what Data-Driven business models…

Supply Chain Analysis using Python

Supply Chain Analysis using Python

The supply Chain is the network of production and logistics involved in producing and delivering goods to customers. And Supply Chain Analysis means analyzing various components of a Supply Chain to understand how to improve the effectiveness of the Supply…

Reorder Routes using Python

Reorder Routes using Python

Reorder routes to make all paths lead to the city zero is a popular question in coding interviews. In this problem, you need to reorder the connections between the cities so that all paths lead to the city labelled as…

Here’s How Myntra Uses Data Science

How Myntra Uses Data Science

Myntra is one of the fashion e-commerce platforms in India. It is known for its trending collection of clothing, footwear, and accessories. Myntra uses a lot of Data Science techniques that make it different from other e-commerce platforms. So, if…

Message Encryption using Python

Message Encryption using Python

Message Encryption means keeping the message secret. In simple words, Message Encryption means putting the message in a secret box that only the receiver can open. If you want to learn how to encrypt messages using Python, this article is…

Accelerometer Data Analysis using Python

Accelerometer Data Analysis using Python

Accelerometer is a device used to measure the acceleration or vibrations of a motion. The data provided by an accelerometer is three-dimensional and can be used in data-driven applications for solving problems like fall detection and health monitoring. So, if…

Data Science Interview Questions

Data Science Interview Questions

There are many types of questions you are asked for a job interview to understand your behaviour, technical skills, domain expertise, and how you will use your skills in solving real-time business problems. If you are looking for some of…

Relative Ranks using Python

Relative Ranks using Python

The problem of relative ranks is a popular coding interview question. Here you will be given an array of integers representing the scores of athletes, assuming that the athletes with the 1st rank will have the highest score, and you…

Topic Modelling using Python

Topic Modelling using Python

Topic Modelling means assigning topic labels to a collection of text documents. The goal of topic modelling is to identify topics present in the text documents. So, if you want to learn how to perform topic modelling, this article is…

Here’s How Samsung Uses Data Science

How Samsung Uses Data Science

Samsung is a South Korean multinomial conglomerate. It is known for its midrange and flagship smartphone collection worldwide. There are many ways how Samsung uses Data Science and Machine Learning techniques in its technology and business. So, if you want…

Use of Data Science in Healthcare

Use of Data Science in Healthcare

There have been many innovations in the healthcare industry since the outbreak of covid in 2019. The use of data in the healthcare industry has helped healthcare professionals get more accurate information about the medical conditions of patients. In this…

Hamming Distance using Python

Hamming Distance using Python

The problem of hamming distance between two integers is a popular coding interview question. Here you will be given two integers, and you need to calculate the number of positions at which the corresponding bits of the integers are different. So, if…

Data Engineering Roadmap

Data Engineering Roadmap

A Data Engineer is a data professional who collects, transforms, and process data according to the need of the business. Data Engineering is one of the highest-paying jobs in Data Science. So, if you are looking for a roadmap to…

Data Analysis Roadmap

Data Analysis Roadmap

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. The role of a Data Analyst is one of the best jobs to start your journey as a Data Science…

Here’s How TCS Uses Data Science

How TCS Uses Data Science

Tata Consultancy Services is an Indian multinational corporation that provides IT, data processing and consulting services. TCS is one of the highly active recruiters in India for its IT and data processing services. So, if you want to know how…

Assign Cookies using Python

Assign Cookies using Python

The problem of assigning cookies is a popular coding interview question. Here you will be given a list of children with their greed factors and a list of cookies with their sizes. To solve this problem, you need to assign…

Job Recommendation System using Python

Job Recommendation System using Python

A recommendation system is a popular application of Data Science that recommends personalized content based on the users’ interests. Almost all the popular websites you visit today use a recommendation system. As the name suggests, a job recommendation system is…

Machine Learning Roadmap

Machine Learning Roadmap

In Machine Learning, we use data and algorithms to build intelligent systems. In the next ten years, you will explore many new high-paying jobs that require you to know about Machine Learning. So the time you will spend today learning…

Counting Bits using Python

Counting Bits using Python

Counting Bits is a popular coding interview question. Here you will be given an integer, and you have to return an array of length (length of the integer + 1) by counting the number of 1’s in the binary representation…

Salary of a Business Analyst

Salary of a Business Analyst

A Business Analyst is a Data Science professional who analyzes and forecasts business trends, understands and analyzes business strategies, and performs budgeting and financial analysis of the business. If you are aiming for the role of a Business Analyst and…

Move Zeroes using Python

Move Zeroes using Python

Moving zeroes is one of the popular questions in coding interviews. Here we need to move all the 0’s in an array to the end of the array while keeping the order of non-zero elements the same. So, if you…

A/B Testing using Python

A/B Testing using Python

A/B Testing means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently. A/B testing is one of the valuable concepts that every…

Salary of a Machine Learning Engineer

Salary of a Machine Learning Engineer

Like all other jobs, the salary of a Machine Learning Engineer depends on many factors like work experience, living standards in the country, and demand for Machine Learning Engineers in the country. Out of all factors, work experience is the most important…

Ugly Number using Python

Ugly Number using Python

Ugly numbers are the numbers whose prime factors are limited to 2, 3, and 5. Finding the Ugly number is a popular question in coding interviews. Here you need to check if a number is an ugly number or not.…

Who Can Learn Data Science

Who Can Learn Data Science

Data Science is one of the highest-paying career options today. Data Science is not like Engineering, where you need an engineering degree with a computer science background. Data Science is a skill that helps companies make decisions with data. So…

Salary of a Data Scientist

Salary of a Data Scientist

Like all other jobs, the salary of a Data Scientist also depends on many factors like work experience, living standards in the country, and the demand for Data Science professionals in the country. Out of all these factors, work experience…

Add Digits using Python

Add Digits using Python

The problem of adding digits is a popular coding interview question. Here we need to add all the digits of the integer till we get to a single-digit integer. So, if you want to know how to solve this problem using…

Salary Prediction with Machine Learning

Salary Prediction with Machine Learning

Salary differs according to the job profile of the person. But generally, it’s the working experience that determines the salary. Salary prediction is a popular problem among the Data Science community for complete beginners. So, if you are a beginner…

Power of Two using Python

Power of Two using Python

The problem of Power of Two is a popular coding interview question. Here we need to check whether the input value is the power of two or not. So, if you want to know how to solve this problem using Python, this…

Weather Forecasting using Python

Weather Forecasting using Python

In Data Science, weather forecasting is an application of Time Series Forecasting where we use time-series data and algorithms to make forecasts for a given time. If you want to learn how to forecast the weather using your Data Science…

Here’s How Tinder Uses Data Science

How Tinder Uses Data Science

Tinder is an online dating and geosocial platform. Many users find Tinder helpful for meeting new people for friendships and relationships. Just like every business today, Tinder also use Data Science for its business. So, if you want to know how Tinder uses…

Majority Element using Python

Majority Element using Python

The majority element problem is one of the popular coding interview questions. Here we need to find the element that appears more than the other element in an array. So, if you want to know how to solve this problem,…

Here’s How Uber Uses Data Science

How Uber Uses Data Science

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…

Single Number using Python

Single Number using Python

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 Metrics in Machine Learning

Regression Metrics in Machine Learning

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…

Python Project Ideas for Resume

Python Project Ideas for Resume

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…

Best Free Courses to Learn Python

Best Free Courses to Learn Python

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…

iPhone Sales Analysis using Python

iPhone Sales Analysis using Python

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…

News Recommendation System using Python

News Recommendation System using Python

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…