Overview
A machine learning pipeline for credit risk scoring. Predicts the probability of loan default using structured financial data, with full model explainability.
Model
XGBoost classifier trained on credit history data. SHAP values provide per-prediction explainability — showing exactly which features drove each risk score.
Stack
Python, XGBoost, SHAP, Pandas, scikit-learn, Jupyter.