Prediction of Heart Disease Using Machine Learning

This project is used for analysing a person who have a chance to get heart disease or not. in this project 6 different machine learning algorithm are used they are

• Naive Bayes Algorithm
• Random forest algorithm
• Logistic regression
• Tenser flow
• Support Vector Machine
• Decision Tree

and the result of these algorithm are compared for making a decision which algorithm is more accurate.