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:
- Here, you can get the covariance matrix by inputting the first three variables in mtcars to the cov function:
> cov(mtcars[1:3]) Output: mpg cyldisp mpg 36.324103 -9.172379 -633.0972 cyl -9.172379 3.189516 199.6603 disp -633.097208 199.660282 15360.7998
- To obtain a correlation matrix of the dataset, we input the first three variables of mtcarsto the cor function:
> cor(mtcars[1:3]) Output: mpg cyldisp mpg 1.0000000 -0.8521620 -0.8475514 cyl -0.8521620 1.0000000 0.9020329 disp -0.8475514 0.9020329 1.0000000
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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.