This project uses KNN and Decision Tree models to predict the chances heart disease of a person at a particular age
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Updated
Jul 9, 2020 - Jupyter Notebook
This project uses KNN and Decision Tree models to predict the chances heart disease of a person at a particular age
An implementation of the Framingham CVD risk score with DMN
A project on predicting potential Heart Diseases in people using Machine Learning algorithms. The algorithms included Support Vector Classifier, Decision Tree Classifier, Random Forest Classifier, etc. The dataset has been taken from the UCI Machine Learning Repository. Link to the WebApp is given below.
Making decisions under uncertainty using Bayesian Networks
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