Using patient data that is given in the dataset, a machine learning model was built to predict whether a patient has heart disease, or not, based on the appropriate input features from the dataset.
The predictions and model descriptions involve:
- exploratory analysis and pre-processing of the data
- building a decision tree model for predicting whether or not someone has heart disease
- neural networks and an ANN for the same classification data