NhanPhamThanh-IT/Logistic-Regression-Heart-Disease-Prediction
🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient dataset with 13 medical features. Complete ML pipeline from data exploration to model evaluation.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 25, 2025
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