Heart_Disease_Diagnosis

Implementation of various machine learning algorithms on the UCI heart disease diagnosis dataset over two categories:

1. Binary classification
2. 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