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Solo framing + interpretability, maturity signals, case study
- Reframe as solo end-to-end applied ML case study (CREDITS, README, UI footer) - Add CASE_STUDY.md (narrative write-up) - Add SHAP interpretability, calibration, and screening-threshold analysis (executed notebook + assets/*.png referenced in README/case study) - Add [analysis] optional depsbf27edd -
Initial commit: NephroScreen — CKD screening ML app
Leakage-safe scikit-learn pipeline (RF 100% test acc on UCI CKD), FastAPI service + static frontend, recall-tuned screening threshold, rule-based indicators, SHAP/calibration notebook, tests, Docker/Render deploy. Independent solo rebuild/extension of a university group coursework project.dc3d345