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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Give Me a Number - Regression
In this chapter, we will cover the following topics:
- Computing the root-mean-square error
- Building KNN models for regression
- Performing linear regression
- Performing variable selection in linear regression
- Building regression trees
- Building random forest models for regression
- Using neural networks for regression
- Performing k-fold cross-validation
- Performing leave-one-out cross-validation to limit overfitting
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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.