April 2017
Beginner to intermediate
420 pages
9h 58m
English
book
Mastering Machine Learning with R - Second Edition
by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky
Content preview from Mastering Machine Learning with R - Second Edition
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Data understanding and preparation
To start, we will load these four packages. The data is in the MASS package:
> library(caret) > library(MASS) > library(neuralnet) > library(vcd)
The neuralnet package will be used for the building of the model and caret for the data preparation. The vcd package will assist us in data visualization. Let's load the data and examine its structure:
> data(shuttle) > str(shuttle) 'data.frame':256 obs. of 7 variables: $ stability: Factor w/ 2 levepicels "stab","xstab": 2 2 2 2 2 2 2 2 2 2 ... $ error : Factor w/ 4 levels "LX","MM","SS",..: 1 1 1 1 1 1 1 1 1 1 ... $ sign : Factor w/ 2 levels "nn","pp": 2 2 2 2 2 2 1 1 1 1 ... $ wind : Factor w/ 2 levels "head","tail": 1 1 1 2 2 2 1 1 1 2 ... $ magn ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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