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 visualize the generalized additive model:
- Generate a scatter plot using the nox and dis variables:
> plot(nox, dis)
Scatter plot of variable nox against dis
- Add the regression to the scatter plot:
> x = seq(0, 1, length = 500)
> y = predict(fit, data.frame(nox = x))
> lines(x, y, col = "red", lwd = 2)
Fitted regression of gam on a scatter plot
- Alternatively, you can plot the fitted model using the plot function:
> plot(fit)
Plot of fitted gam
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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.