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Python | Machine Learning | Credit Card Fraud Detection

End-to-end Credit Card Fraud Detection: data preprocessing (SMOTE), model training (LogReg and Random Forest Classifier), evaluation (ROC/AUC), FastAPI prediction endpoints and Streamlit UI. Deployment-ready with CI-friendly structure and MIT license.

Developing a machine learning model to accurately identify and prevent credit card fraud by analyzing transaction patterns and detecting anomalies.