November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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NNET
The package NNET created by Ripley provides methods to use feedforward neural networks with a single hidden layer and for multinomial log-linear models. Specifically, this chapter of the book will portray the NNET method. Here, we have briefly described the method and parameters used.
Note that I am splitting the data in this way: 90% train set and 10% test set in a random way for 10 times.
I am also initializing a progress bar using the plyr library because I want to keep an eye on the status of the process as the fitting of the neural network may take a while.
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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.