Credit Card Fraud Detection

A Machine Learning Project by Khushi Katwe

Project Overview

This project detects fraudulent credit card transactions using Machine Learning techniques. It includes data preprocessing, EDA, model training, ROC curve analysis, and SHAP explainability.

Key Features

Data preprocessing & feature scaling
Class imbalance handling
Model training & evaluation
Confusion Matrix visualization
ROC Curve & AUC Score
SHAP Explainability Plot

Credit Card Fraud Detection

Project Overview

Key Features

Project Visualizations

SHAP Summary Plot

ROC Curve

Confusion Matrix