Planning a Machine Learning project

As a Head of the Data Science team, I am continually challenged with planning for a Machine Learning project and estimating the amount of time and effort necessary to complete it. In order to make an informed decision about each machine learning project, I prepared a template that can assist me with thinking about important elements before planning. To simplify the explanation of the most important points, each machine learning project is divided into three main parts, prototyping, deployment, and monitoring. Each part describes the items that you should consider in planning. The goal of prototyping is to decide if the application is workable and worth deploying.