Data is collected by different sectors to enhance the productivity and to decrease the problems that are faced by that
sector by analyzing the datasets that were created by different organizations of that sector. Health sector also collects an
immense amount of data every day but unfortunately the health sector was not able to use that data to its full potential and that’s
why that data is underutilized. There are many types of diseases whose causes can be determined and the future generations can
use that info for the betterment of the mankind. The cardiovascular diseases are also comes in this category and in this research
paper we will use four different types of supervised machine learning algorithms on a single dataset that is collected by different
hospitals of its cardiovascular patients that dataset contains the medical data such as age, gender , alcohol, hypertension,
diabetes
