December 2021
Intermediate to advanced
352 pages
9h 18m
English
In this chapter you will learn about how to frame a business problem as a machine learning (ML) problem. Once you do so, you will be able to gather the data requirements, engineer features, and train and tune models.
In the previous chapter, we covered the CRISP-DM framework, which provides a framework for understanding the stages in the ML lifecycle. Once you have identified a business problem and indeed verified that the business problem can be solved ...