Overview

This project builds a robust system for detecting fraudulent credit card transactions using various machine learning techniques, specifically focusing on handling imbalanced datasets.

Techniques Used

• SMOTE (Synthetic Minority Over-sampling Technique)
• Isolation Forest
• Logistic Regression & Random Forest