AI-MLPythonscikit-learnimbalanced-learn
Credit Card Fraud Detection
Fraud classifiers on heavily imbalanced transaction data, comparing resampling strategies and anomaly detectors.
Tackles the extreme class imbalance of fraud detection: SMOTE and undersampling strategies, anomaly-detection baselines, and precision/recall trade-off analysis on real transaction data.