Heart-Disease-Classification

prediction of Heart disease based on 14 features using Machine Learning

Of all the applications of machine-learning, diagnosing any serious disease using a black box is always going to be a hard shell. If the output from a model is the particular course of treatment (potentially with side-effects), or surgery, or the absence of treatment, people are going to want to know why. The dataset we used have a number of variables along with a target condition of having or not having heart disease