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Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate content levelBeginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Generalized linear models

Generalized linear models (GLMs) refer to a larger framework of prediction techniques which can include linear regression, logistic regression (used to predict binary outcomes), and poisson regression (used to predict counts). They are a generalization of linear regression techniques which allow you to work with other distributions which have non-normal error terms. GLMs can be implemented in R by using the glm package, in which you supply a link function to specify which distribution you are modeling. That makes it easier to work with different types of models within a single package, using standard syntax.

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Publisher Resources

ISBN: 9781785886188Supplemental Content