Fraud_Analytics-Credit_Card_Fraud_Detection

Overview

This project implements machine learning models to detect fraudulent credit card transactions, addressing a critical challenge in the financial sector.

Key Features

• Analyzes a dataset of 284,807 transactions (492 fraudulent)
• Handles extreme class imbalance (0.172% fraud cases)
• Employs advanced ML techniques for high-precision fraud detection

Dataset-> Kaggle website

Quick Start

git clone https://github.com/AbhinavSharma07/Fraud_Analytics-Credit_Card_Fraud_Detection.git
cd Fraud_Analytics-Credit_Card_Fraud_Detection
pip install -r requirements.txt
jupyter notebook