Credit Score Modelling: Perform a Weight of Evidence Logistic Regression Modelling (WoELR) to generate credit scorecard for loan approval with the help of optbinning library.
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Updated
Jul 21, 2024 - Jupyter Notebook
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optbinning
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Extra code and other files for written papers and articles
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Jun 2, 2026 - Jupyter Notebook
Interpretable credit-scoring studio: an end-to-end PD scorecard engine (WoE + MIP-optimal binning + elastic-net logistic regression, tuned with Optuna) that turns raw bureau data into a points-based, regulator-friendly scorecard — with full diagnostics (KS/AUC/Gini), Excel/visual exports, and a Streamlit UI.
python machine-learning logistic-regression weight-of-evidence credit-scoring automl risk-modelling credit-risk-assessment optuna streamlit scorecards optbinning
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Jun 9, 2026 - Python
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