XGBoost Fraud Detection System
Published:
A robust fraud detection system leveraging XGBoost for identifying fraudulent credit card transactions. This project includes comprehensive feature engineering, model optimization, and deployment strategies for real-world applications.
Key Features
- Advanced feature engineering for transaction data
- Handles imbalanced datasets effectively
- Real-time fraud scoring capabilities
- Interpretable model outputs
Technologies
- XGBoost
- Scikit-learn
- Feature engineering pipelines
- Model deployment frameworks