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sklearn-calibrated-classifier-cv

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Priyrajsinh / -XGBoost-SHAP-Explainability-Dashboard

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Built an end-to-end classification pipeline on the Pima Indians Diabetes dataset with XGBoost, Optuna hyperparameter optimization, and comprehensive SHAP explainability. Deployed as a multi-tab Streamlit dashboard.

python docker plotly prometheus xgboost lightgbm gradio feature-engine mlops mlflow explainability fastapi optuna medical-ai streamlit shap-permutation-explainer sklearn-calibrated-classifier-cv
  • Updated Mar 31, 2026
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