Welcome

LIVE Classes

Courses

Practice Platforms

Leaderboard

Rewards

Referral

Profile

Finish

Welcome LIVE Classes Courses Practice Platforms Leaderboard Rewards Referral Profile Finish

Welcome to HCL GUVI

Hey there! Welcome to HCL GUVI—Grab Your Vernacular Imprint—where tech learning is easy, fun, and curated specially for you. Incubated by IIT Madras & IIM Ahmedabad in 2014 and now part of HCL Group, we're making quality tech education accessible to all.

Join 3M+ learners breaking barriers and upskilling for a brighter future. We're here to guide you every step of the way! 🚀

LIVE Classes

Zen Classes are HCL GUVI's most refined and flagship product—live, expert-led tech programs for beginners and pros. With IITM Pravartak affiliations, master Full-Stack, Data Science, DevOps, UI/UX, and more in multiple languages!

Explore More

Courses

Looking for flexibility? HCL GUVI's 200+ self-paced courses let you learn anytime, anywhere! From free lessons to IIT-M & Autodesk-certified programs, gain in-demand skills in your preferred language.

Explore More

Practice Platforms

Enhance your coding skills with HCL GUVI's Practice Platforms—interactive, structured, and designed to help you master programming effortlessly.

CodeKata:

A structured coding practice platform with 1500+ coding problems designed by industry experts. Ideal for beginners and professionals preparing for tech interviews with real-world coding challenges.

Try Now >

WebKata:

An interactive platform to master HTML, CSS, JavaScript, and Bootstrap with a live coding environment. Perfect for hands-on web development practice without any setup.

Try Now >

SQLKata:

A practice ground for mastering SQL queries used in real-world applications. Write, optimize, and refine your queries to build strong database skills.

Try Now >

FixTheCode:

Hone your bug-fixing skills with real-world debugging challenges in Python, C++, JavaScript, and Golang. More languages coming soon!

Try Now >

IDE:

A free online compiler supporting 20+ programming languages with auto-complete, debugging, and AI-powered code generation—all in the cloud!

Try Now >

Leaderboard

Climb the leaderboard as you earn Geekoins by learning and practicing! The top scorers get featured, making learning competitive and rewarding. Keep going—you could be next!

Explore More

Rewards

Earn Geekoins by watching videos and practicing problems, then redeem them for exciting rewards. The more you engage, the more you win!

Explore More

Referral

Love learning with HCL GUVI? Share it with friends! Invite them using your unique link or code and unlock exciting rewards—Amazon vouchers, iPhones, and more. A Win-Win.

Explore More

Profile

Your HCL GUVI profile is your digital portfolio! Track progress, showcase skills, add projects, and build a resume. Keep it updated—opportunities await!

Explore More

That's It! You Are Ready!

You're all set to dive into your learning journey with HCL GUVI. Explore, upskill, and make each step count—exciting possibilities awaits!

Home
Credit Card Fraud Detection for Beginners using Data Science

Credit Card Fraud Detection for Beginners using Data Science

The Credit Card Fraud Detection project is an intermediate-level Data Science project that uses Logistic Regression to identify fraudulent credit card transactions. Learners explore data preprocessing, class imbalance, model training, and performance evaluation while working with a real-world financial dataset. The project provides hands-on experience with binary classification and demonstrates how machine learning can be applied to detect fraudulent activities.

5 Modules

42 Lessons

English

0.5 Hr

Reading Plan

MODULE 1

Introduction to Credit Card Fraud Detection

6 mins

Introduction to Credit Card Fraud Detection

1 min

What is Credit Card Fraud Detection?

1 min

Importance of Credit Card Fraud Detection

1 min

Understanding the Credit Card Transactions Dataset

1 min

Aim of the Project

1 min

Expected Project Output

1 min

MODULE 2

Pre-requisites and Tech Stack Used

6 mins

Pre-requisites & Tech Stack Used

1 min

Tech Stack Used

1 min

Dataset Overview

1 min

Credit Card Fraud Detection Project Input and Output

1 min

Why Handling Imbalanced Data is Important

1 min

Project Workflow

1 min

MODULE 3

Necessary Concepts for Fraud Detection

10 mins

Necessary Concepts for Fraud Detection

1 min

Logistic Regression

1 min

Understanding Imbalanced Data

1 min

1 min

1 min

1 min

1 min

Model Evaluation Metrics

1 min

Confusion Matrix

1 min

Importance of Fraud Detection Models

1 min

MODULE 4

Implementing a Fraud Detection System Using Logistic Regression

14 mins

Implementing a Fraud Detection System Using Logistic Regression

1 min

Importing Required Libraries

1 min

Loading the Dataset

1 min

Data Auditing

1 min

Checking Missing Values

1 min

Exploring Class Distribution

1 min

Separating Features and Target Variable

1 min

Splitting the Dataset

1 min

Training the Logistic Regression Model

1 min

Making Predictions

1 min

Evaluating Model Performance

1 min

Generating the Classification Report

1 min

Creating the Confusion Matrix

1 min

Understanding the Results

1 min

MODULE 5

Performance Analysis Evaluation and Project Wrap-Up

6 mins

Performance Analysis, Evaluation, and Project Wrap-Up

1 min

Live Output and Visualization Overview

1 min

Key Insights

1 min

Multiple Choice Questions (MCQs)

1 min

Resources

1 min

Future Improvements

1 min

Contributors

Vishalini A

Credit Card Fraud Detection for Beginners using Data Science

Learn how to build a Credit Card Fraud Detection system using Python and Machine Learning. This intermediate-level handbook covers transaction data preprocessing, Logistic Regression, classification metrics, confusion matrix analysis, and fraud detection techniques using a real-world financial dataset.

Credit Card Fraud Detection Using Logistic Regression

This handbook guides learners through building a complete Credit Card Fraud Detection system using Logistic Regression. It explains how to preprocess transaction data, analyze class imbalance, train and evaluate a classification model, and interpret performance metrics through practical examples. By working with a real-world dataset, learners gain hands-on experience in solving financial fraud detection problems using Data Science and Machine Learning.

Credit Card Fraud Detection Using Logistic Regression

Prerequisites

This course is suitable for:

Basic knowledge of Python programming
Understanding of Data Science fundamentals
Familiarity with Machine Learning concepts
Basic knowledge of classification algorithms
A Google account to access Google Colab
A Kaggle account to download the Credit Card Fraud Detection dataset
Internet connection to access datasets and required Python libraries

Run & Test your Code with our very own IDE that supports 16 languages

Open IDE

5 Modules

42 Lessons

English

0.5 Hr

Contributors

Vishalini A

Recommended Handbooks

4.7

C++ Handbook

Level up your programming skills with our C++ Tutorials hub, guiding you from beginner to advanced. Start your journey now!

English

6301

3 Hrs

4.7

Python Basics Handbook

Level up your programming skills with our Python Tutorials hub, guiding you from beginner to advanced. Start your journey now!

English

7589

3.5 Hrs

4.6

Javascript Handbook

Level up your programming skills with our JavaScript Tutorials hub, guiding you from beginner to advanced. Start your journey now!

English

6227

2 Hrs

ReactJS Projects Handbook

Learn ReactJS by building projects that mirror real-world applications. Strengthen your skills with step-by-step guidance and hands-on coding experience.

English

2.5 Hrs

Computer Networks Tutorial

A complete guide to computer networking, from fundamentals to protocols, routing, addressing, and real-world data communication.

English

1.5 Hrs

Operating System Tutorial

Your complete guide to Operating Systems, from fundamentals to advanced topics like memory management, scheduling, threads, and deadlock handling.

English

1 Hr

DBMS and SQL Tutorial

A complete handbook to guide you through DBMS fundamentals and SQL mastery, perfect for building data-driven applications, managing data systems, or preparing for database roles.

English

186

0.5 Hr

Java Tutorial

Beginner-friendly Java handbook covering core concepts, OOP principles, and hands-on programming examples.

English

2 Hrs

C Language Tutorial

A step-by-step C programming handbook for beginners. Understand C syntax, logic, memory, and hands-on coding to build solid programming foundations.

English

0.5 Hr

PHP Tutorial

Step-by-step PHP handbook for web developers. Master server-side scripting with practical code and concepts.

English

0.5 Hr

Android Tutorial

Beginner-friendly Android handbook covering app fundamentals, UI design, and hands-on development concepts.

English

1 Hr

Linux Guide Tutorial

A practical Linux handbook covering command-line basics, file management, and system operations.

English

2.5 Hrs

Data Structures and Algorithms Tutorial

Learn core data structures and algorithms with practical examples to improve coding efficiency and problem-solving skills.

English

0.5 Hr

Computer Architecture

A beginner-friendly guide to computer architecture covering processors, memory, and system-level concepts.

English

0.5 Hr

HTML 5 References Tutorial

A handy HTML5 reference guide covering modern tags, attributes, and semantic elements.

English

1.5 Hrs

Docker Tutorial

A hands-on Docker handbook covering containers, images, and modern application deployment basics.

English

0 Hr

GIT (Using Github) Tutorial

A hands-on Git and GitHub handbook for managing code, tracking changes, and collaborating on projects.

English

0.5 Hr

Go Language Tutorial

A beginner-friendly Go handbook covering core language concepts and modern backend programming.

English

0.5 Hr

GIT Guide

A practical Git guide covering version control basics, branching, and real project workflows.

English

1 Hr

CSS Tutorial

A beginner-friendly CSS handbook covering page styling, layouts, and responsive design basics.

English

1 Hr

Advanced Data Structures

A focused handbook covering advanced data structures for efficient and scalable problem solving.

English

0 Hr

Spring Framework Tutorial

A hands-on Spring Framework handbook covering core concepts and backend development fundamentals.

English

1 Hr

Spring Boot Tutorial

A practical Spring Boot handbook focused on building and running modern Java backend applications.

English

0.5 Hr

Kotlin Tutorial

A beginner-friendly Kotlin handbook covering modern language features and real-world development concepts.

English

1 Hr

Apache Cordova Tutorial

A hands-on Apache Cordova handbook for building cross-platform mobile apps with web technologies.

English

0 Hr

Python Tutorial

A beginner-friendly Python handbook covering core concepts and practical programming examples.

English

1.5 Hrs

SASS-SCSS Tutorial

A hands-on SASS / SCSS handbook for writing clean, reusable, and scalable stylesheets.

English

0.5 Hr

MongoDB Tutorial

A hands-on MongoDB handbook covering NoSQL concepts and modern database operations.

English

0.5 Hr

Numpy Tutorial

A hands-on NumPy handbook for fast numerical computation and data manipulation using Python.

English

1.5 Hrs

PL-SQL Tutorial

A hands-on PL/SQL handbook for writing procedural database programs and business logic.

English

0.5 Hr

Python Built-in Functions Tutorial

A handy reference guide to Python’s built-in functions for cleaner and faster coding.

English

0.5 Hr

Pandas Tutorial

A hands-on Pandas handbook for data manipulation, cleaning, and analysis using Python.

English

2.5 Hrs

Elasticsearch Tutorial

A hands-on Elasticsearch handbook covering indexing, searching, and data analysis concepts.

English

0 Hr

Matplotlib Tutorial

A hands-on Matplotlib handbook for creating charts and visualizing data using Python.

English

0.5 Hr

Web Scraping Tutorial

A hands-on web scraping handbook for extracting and working with data from websites.

English

0 Hr

Networking with Python

A hands-on handbook for building network-enabled applications using Python.

English

0.5 Hr

Tkinter Tutorial

A hands-on Tkinter handbook for building desktop applications with Python.

English

0.5 Hr

Java Programs Tutorial

A hands-on Java programs handbook for practicing core concepts and problem-solving in Java.

English

2 Hrs

Java Examples Tutorial

A hands-on Java examples handbook focused on logic building and practical coding.

English

3.5 Hrs

Servlet Tutorial

A hands-on Java Servlet handbook for building server-side web applications.

English

0.5 Hr

JSP Tutorial

A hands-on JSP handbook for creating dynamic server-side web pages with Java.

English

0.5 Hr

Java Type Conversion Tutorial

A concise Java handbook explaining type conversion and casting with clear examples.

English

0.5 Hr

Java 8 Tutorial

A hands-on Java 8 handbook focused on modern language features and functional programming.

English

0.5 Hr

Java 9 Tutorial

A practical Java 9 handbook covering modules and platform enhancements.

English

0 Hr

Java 10 Tutorial

A focused Java 10 handbook covering language refinements and performance upgrades.

English

0 Hr

Java 11 Tutorial

A hands-on Java 11 handbook focused on modern APIs and long-term support features.

English

0 Hr

Java Util Library Tutorial

A hands-on Java Util library handbook covering essential utility classes and collections.

English

0.5 Hr

Building a Contact Us Form in ReactJS

Responsive ReactJS Contact Form with validation, error messages, and success animation.

English

0.5 Hr

Building a Age Calculator App Using ReactJS

Quickly find your exact age with this interactive ReactJS Age Calculator.

English

0.5 Hr

Movie Recommendation System Project Using Content-Based Filtering

Build a movie recommendation system that suggests similar movies using genre similarity and average ratings. A simple, practical ML project for beginners to understand real-world recommenders.

English

0.5 Hr

Recipe Finder App using ReactJS

Build a live Recipe Finder app using ReactJS. Search recipes, view details in modals, and handle state, events, and API data efficiently.

English

0.5 Hr

Sales Data Analysis Project for Beginners Using Data Science

Analyze sales data to find revenue trends, top products, quarterly patterns, and key customer insights. A beginner-friendly project for hands-on business data analysis in Python.

English

0.5 Hr

Student Performance Analysis Project for Beginners Using Data Science

Analyze student performance data to uncover attendance trends, study patterns, score improvements, and key exam factors. A beginner-friendly Python project for hands-on learning.

English

0.5 Hr

Word Counter Tool Using ReactJS

Learn to create a live Word & Character Counter using ReactJS, Tailwind CSS, and JavaScript. Practice state, events, and conditional rendering.

English

0.5 Hr

Customer Churn Prediction Project Using Classification Techniques

Analyze telecom customer data to predict churn, identify high-risk users, and uncover patterns in tenure, payments, and service usage. A beginner-friendly Python project for hands-on learning.

English

0.5 Hr

Basic Expense Tracker App using ReactJS

A simple ReactJS-based Expense Tracker App that helps users manage income, add expenses, and view real-time balance updates.

English

0.5 Hr

Simple Binary to Decimal Converter in React

A ReactJS tool that converts binary numbers into decimal form with instant validation and user-friendly input handling.

English

0.5 Hr

Real-Time Unit Converter in React

A ReactJS-based real-time converter that switches between units like length, weight, and temperature with instant results and swap functionality.

English

0.5 Hr

House Price Prediction Using Machine Learning (XGBoost)

Build a machine learning model that predicts house prices using housing characteristics and XGBoost Regression. A beginner-friendly project for learning real-world predictive analytics.

English

1 Hr

Weather Data Analysis and Visualization Using Python

Analyze weather data using Python and create visualizations to uncover temperature, humidity, and rainfall trends. A beginner-friendly Data Science project for learning practical data analysis.

English

1 Hr

Expandable Accordion Component using React

Learn to create an interactive React Accordion with toggle functionality and dynamic content display.

English

0.5 Hr

OTP Verification Component using React

Learn to build an interactive OTP Verification Component in React with auto focus, OTP validation, loading states, and resend functionality.

English

0.5 Hr

Cricket Data Analysis Using Python

Analyze IPL match data using Python to uncover player, team, and performance trends through data visualization. A beginner-friendly Data Science project for learning exploratory data analysis.

English

0.5 Hr