Heart Disease predictions using Logistic Regression – Sushrut Tendulkar

The main purpose of this post is to explore the different ways in which Logistic Regression can be applied to the dataset and hence understanding how the model actually works. The idea is not to solve the problem itself. This post doesn't focus on getting best score using different models however it assumes that there's only one model available for use. This is part of the series of posts to learn and share the details of Logistic Regression. If you're new to this kindly refer my earlier posts on the same topic: The data set has different features like Demographics, Behavioural which includes current smoker, cigarettes per day and Medical history and our task is to predict if the person has 10 year risk of coronary heart disease.