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Machine Learning with R Cookbook - Second Edition
book

Machine Learning with R Cookbook - Second Edition

by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
October 2017
Beginner to intermediate
572 pages
26h 1m
English
Packt Publishing
Content preview from Machine Learning with R Cookbook - Second Edition

How it works...

The glm function fits a model to the data in a similar fashion to the lm function. The only difference is that you can specify a different link function in the parameter, family (you may use ?family in the console to find different types of link functions). In this recipe, we first input the independent variables, age, sex, and education, and the dependent wages variable to the glm function, and assign the built model to lmfit1. You can use the built model for further prediction.

Next, to determine whether glm with a Gaussian model is exactly the same as lm, we fit the independent variables, age, sex, and education, and the dependent variable, wages, to the lm model. By applying the summary function to the two different models, ...

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Publisher Resources

ISBN: 9781787284395