Heart Disease Prediction System using Machine Learning

• Introduction

In recent few decades, heart problems emerge as a deadly disease and becomes the major cause for death of large number of people around the world. It is one of the life-threating disease that needs to be diagnosed early with an accurate, feasible and reliable system. Traditional methods for proper treatment of heart disease in time is not enough. Developing a disease prediction system based on Machine Learning algorithm provides a reliable and more accurate disease diagnosis than traditional methods. So, this project implements machine learning algorithm to analyze their performances. In this project, a heart disease prediction system based on supervised learning algorithms: Random Forest (RF), Decision Tree (DT) and regression models: Linear Regression and Random Forest regression are implemented to get the best accuracy rate among all.

• Requirements

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The provided code works in all python versions above 3.7.0.

• Installation

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There are few libraries that need to be installed before running the codes.

1. pip install -U scikit-learn
2. pip install pandas
3. pip install numpy