Heart Disease UCI Prediction using NN

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer-valued from 0 (no presence) to 4. This is how we make a model for the prediction of a heart disease dataset using Neural Networks. There are a million ways to make a model because of recent and upcoming developments in the field of Deep Learning.