September 2017
Beginner to intermediate
560 pages
25h 18m
English
book
R Data Analysis Cookbook, Second Edition - Second Edition
by Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya, Andrew Bauman, Shanthi Viswanathan, Viswa Viswanathan
Content preview from R Data Analysis Cookbook, Second Edition - Second Edition
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How it works...
Steps 1 and 2 load the necessary packages and read the data.
Step 3 partitions the data. Refer to the Creating random data partitions recipe in Chapter 2, What's in There? - Exploratory Data Analysis, for more details. We set the random seed to enable you to match your results with those that we have displayed. Technically speaking, we do not really need to partition the data for random forests because it builds many trees and uses only a subset of the data each time. Thus, each case is OOB for about a third of the trees built and can be used for validation. However, the method also allows us to provide a validation dataset separately, and we illustrate that process here.
Step 4 builds the random forest model. We show the ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.