Implementation of various machine learning algorithms on the UCI heart disease diagnosis dataset over two categories:
- Binary classification
- Multi class classification
- Highest accuracy of 90.16% achieved using Neural networks for binary classification
- Highest accuracy of 70% achieved using Neural Networks for multi class classification