An End-to-End Machine Learning Project: Heart Failure Prediction, Part 2

Model deployment in a web application

Welcome to part two of a series on an end-to-end machine learning project! In the first article we trained, validated, tuned and saved a machine learning model that uses patient information to predict heart failure probability. In this article, we will develop a web application through which anyone can interact with our model. The frontend of the application will be handled by HTML, CSS, and JavaScript, and the backend will be written in python…