This project aims to solve small heart check-ups related issues. if a person is in doubt after a report that he/she might have heart disease, they can check by using his app. This app will tell if they have heart disease or not
The main challenge was to choose the correct Machine Learning model for this project, as its predictions need to be very precise. So, we built 4 models in which we used Lightbgm, normal Logistic regression, KNN, Random forest, and Tensorflow.
At the end, we chose Random Forest Classifier as it was much more precise than the rest of the models.
Technologies used
Discussion