End-to-end machine learning project processes

I've read a book chapter that walks you through all the steps involved in an end-to-end machine learning project. After doing all the practical exercises I'm still not quite sure that my way of thinking about the whole process is right.

I've tried to depict it in the following flowchart:

Is this the right way of thinking about all the steps in an ML project? Is there something missing?