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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Data transformation

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.

Identifying the ID columns is known as identifier detection. Identifier columns don't add any information to a model in pattern detection and prediction. So, identifier column detection functionality can be a part of the AutoML package and we use it based on the algorithm or a task dependency.

Once we have decided on the fields to use, we may explore the data to transform certain features that aid ...

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Publisher Resources

ISBN: 9781788629898Supplemental Content