Machine Learning for Early Detection of Heart Attack: A Comparative Analysis

This is an electronic document about the heart attack Project where we have discussed some important ways to predict the heart attack. This abstract introduces a machine learning approach for heart attack prediction, leveraging various algorithms like Logistic Regression, KNN, and Random Forest, to analyze patient data and predict the likelihood of heart disease, aiming to improve early detection and healthcare outcomes.