Cardiovascular Disease Predictor

ML model predicting cardiovascular disease using health metrics from Kaggle dataset (70,000 records, cleaned to 62,745).

Models Used: • K-Nearest Neighbors (KNN) • Logistic Regression • Support Vector Machine (SVM) • Random Forest • Voting Classifier

Achieved 99% accuracy using ensemble voting classifier approach.