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

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Vedant-S/Heart-Disease-Classification_Random-Forest

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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

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

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