April 2018
Beginner to intermediate
282 pages
6h 52m
English
Let's assume we are working on an ML model whose task is to predict employee attrition. Based on our business understanding, we might include some relevant variables that are necessary to create a good model. On the other hand, we might choose to discard some features, such as EmployeeID, which carry no relevant information.
Once we have decided on the fields to use, we may explore the data to transform certain features that aid ...