USC CHD Risk Prediction Models Project

The dataset provided information on over 4,000 patients and included 15 attributes, each representing a potential risk factor for CHD. These attributes included demographic, behavioral, and medical risk factors.Task :”To predict the 10-year risk of future coronary heart disease (CHD) in patients”Please show 2 models:Logistic RegressionRandom Forest