Trojan3877/diabetes-prediction-ml-pipeline
The Diabetes Prediction ML Pipeline is a production-ready end-to-end workflow for predicting the onset of diabetes using electronic health record data. It ingests raw patient data, performs exploratory analysis and feature engineering (handling missing values, scaling, encoding), and trains interpretable models (e.g. Logistic Regression, XGBoos
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Language
Python
License
MIT
Last pushed
Apr 03, 2026
Commits (30d)
0
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