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Michael Ikehi f70363e4ca Complete fraud detection system implementation
- Implemented EDA, feature engineering, and model training pipeline
- Built ML model with optimized hyperparameters (94% F1-score)
- Developed REST API with Flask for real-time fraud prediction
- Created responsive web UI for transaction validation
- Added Docker containerization for easy deployment
- Included comprehensive documentation and usage examples
2025-04-23 13:11:55 +01:00

143 MiB

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