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1. real-estate-predictions-ML real-estate-predictions-ML Public

   Predicts high-growth US ZIP codes by combining Zillow housing data with Census demographics across 20,000 ZIPs. Random Forest achieves 80% accuracy and 0.87 AUC over a hand-crafted baseline.

   Jupyter Notebook 1

2. hospital-readmissions-risk-ml hospital-readmissions-risk-ml Public

   Predicts 30-day hospital readmission risk in diabetic patients using ICD-9 code grouping, random oversampling, and HistGradientBoosting on 101,766 clinical encounters. Best model: F1 = 0.2818, AUC …

   Jupyter Notebook 1

3. stroke-risk-predictor stroke-risk-predictor Public

   End-to-end stroke risk prediction with a live Streamlit app. Stacking ensemble with clinical feature engineering and oversampling on the UCI Stroke dataset. Best model: F1 = 0.2920, AUC = 0.8343.

   Jupyter Notebook 1