June 2020
Beginner to intermediate
380 pages
11h 32m
English
Content preview from End-to-End Data Science with SAS
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Chapter 7: Parametric Classification Models
Difference Between Linear and Logistic Regression
Overview
In the last chapter, we focused on linear regression models. Two important characteristics define those models. 1.) They are designed to support a quantitative target variable. 2.) They assume a functional form (Y ≈ β0 + β1 X1); therefore, they are categorized as parametric models.
Linear regression models are constrained to fit the data by utilizing the linear ...
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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.