A logistic regression model to predict heart disease risk using clinical and lifestyle data.
- 83% accuracy using diagnostic + lifestyle parameters
- Cleaned data: missing values, outliers, categorical encoding
- Evaluated with ROC, AUC, and confusion matrix
Python, Scikit-learn, Pandas, Seaborn, Matplotlib