Heart Disease Prediction

A logistic regression model to predict heart disease risk using clinical and lifestyle data.

Features

• 83% accuracy using diagnostic + lifestyle parameters
• Cleaned data: missing values, outliers, categorical encoding
• Evaluated with ROC, AUC, and confusion matrix

Tech Stack

Python, Scikit-learn, Pandas, Seaborn, Matplotlib