October 2017
Beginner to intermediate
572 pages
26h 1m
English
book
Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
Content preview from Machine Learning with R Cookbook - Second Edition
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How to do it...
Perform the following steps to fit a generalized linear regression model with the Gaussian model:
- Fit the independent variables, age, sex, and education, and dependent variable wages to glm:
> lmfit1 = glm(wages ~ age + sex + education, data = SLID, fami ly=gaussian) > summary(lmfit1) Output: Call: glm(formula = wages ~ age + sex + education, family = gaussian, data = SLID) Deviance Residuals: Min 1Q Median 3Q Max -26.111 -4.328 -0.792 3.243 35.892 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -7.905243 0.607771 -13.01 <2e-16 *** age 0.255101 0.008634 29.55 <2e-16 *** sexMale 3.465251 0.208494 16.62 <2e-16 *** education 0.918735 0.034514 26.62 <2e-16 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' ...
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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.