An end-to-end Machine Learning system that detects fraudulent credit card transactions using transaction data and neural networks. This project demonstrates a real-world fraud detection pipeline, including data preprocessing, exploratory data analysis, model training, and evaluation.

This project is part of the 10 Academy AI Mastery Challenge (Week 8 & 9), focused on improving fraud detection in e-commerce and banking transactions using machine learning and deep learning techniques. The goal is to build a robust fraud detection system that minimizes false positives while accurately identifying fraudulent transactions.