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...
Step 1 loads the necessary packages--nnet for neural network modeling and caret for data partitioning. We also load devtools because we will be sourcing code using a web URL for printing the network.
Step 2 reads the file.
Step 3 partitions the data. Refer to the Creating random data partitions recipe from Chapter 2, What's in There? - Exploratory Data Analysis for more details. We have set the random seed to enable you to match your results with those that we have displayed.
Step 4 builds the neural net model using the nnet function of the nnet package:
> fit <- nnet(MEDV/50 ~ ., data=bh[t.idx,], size=6, decay = 0.1, maxit = 1000, linout = TRUE)
We divide our response variable by 50 to scale it to the range [0, 1]. We pass ...
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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.