Take your Machine Learning Models to Production with these 5 simple steps

Creating a great machine learning system is an art.

There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project.

But do we ever think about how we will deploy our models once we have them?

I have seen a lot of ML projects, and a lot of them are doomed to fail as they don’t have a set plan for production from the onset.

This post is about the process requirements for a successful ML project — One that goes to production.