The list is comprised of common errors that can be made during a project – some obvious and some not so obvious. The “Do’s” and “Don’ts” included here will help ensure a successful project from beginning to end, leaving both you and the project team satisfied.This is first of a series of best practices guides, with elements based on real-world machine learn-ing projects.