Title: Predicting Heart Disease Using Machine Learning
Overview: This is an end to end binary classification project that seeks to predict if a patient has heart disease or not based on medical attributes provided in the dataset. We are going to build our model using the following classifiers: Logistic Regression Classifier, KNeighbors Classifier and Random Forest Classifier
Approach