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 classify the churn data with the k-nearest neighbor algorithm:
- First, one has to install the class package and have it loaded in an R session:
> install.packages("class")
> library(class)
- Replace yes and no of the voice_mail_plan and international_plan attributes in both the training dataset and testing dataset to 1 and 0:
> levels(trainset$international_plan) = list("0"="no", "1"="yes")
> levels(trainset$voice_mail_plan) = list("0"="no", "1"="yes")
> levels(testset$international_plan) = list("0"="no", "1"="yes")
> levels(testset$voice_mail_plan) = list("0"="no", "1"="yes")
- Use the knn classification method on the training dataset and the testing dataset:
> churn.knn = knn(trainset[,! ...
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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.