/Heart-Disease-Classification_Random-Forest

Project includes a Random Forest algorithm to detect heart disease in patients on the basis of 14 physiological attributes.

Primary LanguageJupyter NotebookMIT LicenseMIT

Heart Disease Classification using Random Forest:

Project description:

This Machine Learning Project uses a Random Tree algorithm to predict the absence (0) or presence (1) of heart disease being suffered by patients on the basis of 14 physiological attributes.

Dataset Source: https://www.kaggle.com/ronitf/heart-disease-uci

Author:

+ Vedant Shrivastava | vedantshrivastava466@gmail.com