October 2019
Beginner to intermediate
469 pages
8h 55m
English
In this chapter, we’ll learn about the different pitfalls that one should be aware and will encounter while building a machine learning (ML) system. We’ll also learn industry standard efficient design practices to solve it.
Throughout this chapter we’ll mostly be using a dataset from the UCI repository, “Pima Indian diabetes,” which has 768 records, 8 attributes, 2 classes, 268 (34.9%) positive results for a diabetes test, and 500 (65.1%) negative results. All patients were females at least 21 years old of Pima Indian heritage. ...
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