September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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Nonlinear and other types of regression
Although we have focused on linear regression in this chapter, you certainly are not limited to performing regression with linear formulas. You can model your dependent variable by one or more nonlinear terms such as powers, exponentials, or other transformations on your independent variables. For example, we could model Sales by a polynomial series of TV terms:
Keep in mind, however, that as you add this complexity, you are again putting yourself in danger of overfitting.
In terms of implementing non-linear regressions, you cannot use github.com/sajari/regression, which is limited to linear regression. ...
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