Fraud Detection Project

This project analyzes financial transaction data to identify fraudulent activities using Exploratory Data Analysis (EDA) and Machine Learning preprocessing techniques.

The notebook explores transaction patterns, creates new features, visualizes important trends, and prepares the dataset for fraud detection models.