Machine Learning Model Deployment Using Heroku - Heroku Tutorial for Beginners

Watch this tutorial on Machine Learning Model Deployment Using Heroku! Heroku is a platform as a service that enables developers to build, run and operate applications entirely in the cloud. Model Deployment is a method by which we integrate the Machine Learning model into an existing production environment in order to start using it to make practical business decisions based on data. Tending to this, we bring you a tutorial on Machine Learning Model Deployment Using Heroku, where you’ll learn how to deploy the final ML model using the Heroku platform.

Great Learning brings you this tutorial on Machine Learning Model Deployment Using Heroku to take you from the starting point through the finishing point of everything you need to know about this domain and getting started on the journey to master it. This video starts with a case study followed by understanding Heroku and the steps to deploy applications on Heroku. Then we look at the concept of Model Deployment and Model Deployment options. Finally, we compare the architectures of the various Model Deployment options. This video teaches Machine Learning Model Deployment Using Heroku and its key functions and concepts with a variety of examples to help you get started on the right foot.

Introduction.
Case Study - Predict Salary.
What is Heroku?.
Steps to Deploy Application on Heroku.
What is Model Deployment?.
Model Deployment Options.
Architecture Comparison.