heart disease prediction

his project predicts the risk of heart disease using machine learning models such as Logistic Regression, Random Forest, and XGBoost. It uses the Framingham Heart Study dataset, includes data preprocessing, model training, and evaluation, and provides a simple web app for user interaction and prediction