Heart Attack Risk Prediction

Analyzed structured clinical data to predict heart attack risk using machine learning techniques.

Trained multiple classification models and conducted performance evaluation using metrics like accuracy,

precision, and recall.

Achieved 99% accuracy in heart attack prediction using logistic regression and decision trees.