HEART ATTACK ANALYSIS AND PREDICTION USING DECISION TREE ALGORITHM
Introduction In this post, you will learn to develop a program to generate a decision tree for a heart attack data set using Python and MongoDB, along with user authentication. The program is intended to forecast a chance of having a heart attack based on their medical characteristics. Overview In this post, the following subjects are covered in detail. Overview What is the decision tree algorithm? How to build a decision tree for the heart attack dataset using Python and MongoDB. An explanation of how to use/operate the program. What is Decision Tree Algorithm Decision Tree is one of the easiest and popular classification algorithms to understand and interpret , it is a supervised machine learning technique used for solving regression and classification problems. As the name implies, a decision tree is a tree-based algorithm that divides the data into parts and generates decision rules that help in coming up with a prediction or a label. Important Term...