gitadi2/credit-risk-final

End-to-end credit risk scoring pipeline deployed on Azure — ML models (Logistic Regression, Random Forest, XGBoost) with SHAP explainability, SQL ETL on Azure PostgreSQL, FastAPI scoring API with LRU caching, binary search policy optimization, Dockerized, CI/CD via GitHub Actions, 41 tests passing.

15
/ 100
Experimental
No License No Package No Dependents
Maintenance 13 / 25
Adoption 1 / 25
Maturity 1 / 25
Community 0 / 25

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Language

Python

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Category

credit-risk-modeling

Last pushed

Mar 18, 2026

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Credit Risk Modeling · 228 frameworks

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