Credit Card Fraud Detection Using Machine Learning

Developed a machine learning project to detect fraudulent credit card transactions using Python.

The project included data preprocessing, feature engineering, data visualization, and handling class imbalance using SMOTE.

Multiple machine learning classification models were trained and evaluated using classification metrics and confusion matrices