Heart-Disease-Classification Project Aim of the project Given medical patient's attributes, is it possible for a Machine Learning model to predict whether or not the patient has a heart disease? Dependencies installation pip install pandas pip install scikit-learn pip install matplotlib pip install numpy Results Best model :LogisticRegression (with tunned hyperparameters using GridSearchCV). About the data The original data set come frome the "https://archive.ics.uci.edu/dataset/45/heart+disease" Model Comparison Classification report: How to use the trained model? To use the trained model (use 'joblib'): * from joblib import load * load(filename= 'trained_model.joblib') It is imported you can now use it to make predictions!!
