A heart disease prediction system that is capable of forecasting the probability of getting a heart disease. It is trained using 6 different type of models as listed below.
- Neural Network
- Logistic Regression
- Decision Tree
- Random Forest
- XG Boost
- K Nearest Neighbors
The data used to train the model were obtained from Kaggle. You can check out the dataset here.If you are interested in the process of training the model, checkout this jupyter notebook.