The Machine Learning Process

There is a workflow that we can follow in most ML projects. This workflow consists of four major steps that each feature smaller steps:

1. Data collection

2. Preprocessing

3. Modeling

4. Model evaluation

Although these steps give us the impression of linearity, the process is usually quite iterative. This means we’re constantly going back and forth between steps.