End-to-end Python notebook that engineers a proxy “bad-client” label, explores drivers of credit risk, and builds a leakage-free XGBoost scorecard with threshold tuning and cross-validation.
machine-learning xgboost logistic-regression credit-scoring credit-risk imbalance-learning risk-modeling financial-analytics
- Updated
May 28, 2025 - Jupyter Notebook