January 2010
Beginner
634 pages
19h 50m
English
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Chapter 21. Classification Models
In Chapter 20, I provided an overview of R’s statistical modeling software for regression problems. However, not all problems can be solved by predicting a continuous numerical quantity like a drug dose, or a person’s wage, or the value of a customer. Often, an analyst’s goal is to classify an item into a category or maybe to estimate the probability that an item belongs to a certain category. Models that describe this relationship are called classification models.
This chapter gives an overview of R’s statistical modeling software for linear classification models.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.