This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.
Random Forest Classifier gives the best accuracy
Dataset is present in Kaggle
Link: https://www.kaggle.com/datasets/alexteboul/heart-disease-health-indicators-dataset