Abstract:
Heart disease is one of the leading problems of health care service today. It is a common
scenario that a patient does not understand if he has heart disease or not. Several diagnoses are
done to predict the presence of heart disease. By the help of Machine Learning tools such as
Logistic Regression, Artificial Neural Network, Support Vector Machine and Gaussian Process
Classification we are going to analyze the five different dataset of heart disease patients. Based
on those data we will try to make a platform where we can predict if a patient has a heart disease
in his body or not. By examining this machine learning techniques through PYTHON and
MATLAB we are going to compare the accuracy result and determine the better technique to
use
