Deploying Machine Learning Models with Heroku

For starters, deployment is the process of integrating a trained machine learning model into a production environment, usually intended to serve an end-user. Deployment is typically the last stage in the development lifecycle of a machine learning product. The "Model Deployment" stage above consists of a series of steps which are shown in the image below: For the purpose of this tutorial, I will use Flask to build the web application. In this section, let's train the machine learning model we intend to deploy. For simplicity and to not divert from the primary objective of this post, I will deploy a linear regression model.