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 step to summarize linear model fits:
- Compute a detailed summary of the fitted model:
> summary(model) Output: Call: lm(formula = income ~ prestige + women) Residuals: Min 1Q Median 3Q Max -7620.9 -1008.7 -240.4 873.1 14180.0 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 431.574 807.630 0.534 0.594 prestige 165.875 14.988 11.067 < 2e-16 *** women -48.385 8.128 -5.953 4.02e-08 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 2573 on 99 degrees of freedom Multiple R-squared: 0.64, Adjusted R-squared: 0.6327 F-statistic: 87.98 on 2 and 99 DF, p-value: < 2.2e-16
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.