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Machine Learning with R Cookbook - Second Edition
book

Machine Learning with R Cookbook - Second Edition

by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
October 2017
Beginner to intermediate
572 pages
26h 1m
English
Packt Publishing
Content preview from Machine Learning with R Cookbook - Second Edition

How it works...

In the first recipe, we used the AirPassengers dataset, using the class function. We saw that it is ts (ts stands for time series). The start and end functions will give the starting year and ending year of the dataset with the values. The frequency function tells us the interval of observations; 1 means annually, 4 means quarterly, 12 means yearly, and so on.

In the next recipe, we want to generate samples between 2,500 to 40,000 to represent the price of a share. Using a sample function, we can create a sample; it takes the range as the first argument, and the number of samples required as the second argument. The last argument decides whether duplication is to be allowed in the sample or not. We stored the sample in the ...

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Publisher Resources

ISBN: 9781787284395