HEART ATTACK RISK PREDICTION USING AUTO ML

Abstract

The aim of the project is to predict heart attack risk using AUTOML. We are predicting the heart attack risk using machine learning algorithms like svm, knn, logistic regression etc. AUTOML is known as Automated machine learning this library plays a crucial role in this project. It finds the best algorithm through out all of them were algorithms will give best accuracy. It depends on the dataset. This dataset will carry data of the person ex: name, age, gender, bp levels, sugar levels, etc by this dataset . We can get good results with best accuracy.