By Max Kuhn,Kjell Johnson
The textual content illustrates all components of the modeling approach via many hands-on, real-life examples. and each bankruptcy includes broad R code for every step of the method. the knowledge units and corresponding code come in the book's better half AppliedPredictiveModeling R package deal, that's freely to be had at the CRAN archive.
This multi-purpose textual content can be utilized as an creation to predictive types and the general modeling approach, a practitioner's reference guide, or as a textual content for complicated undergraduate or graduate point predictive modeling classes. for that reason, every one bankruptcy comprises challenge units to assist solidify the lined options and makes use of info on hand within the book's R package.
Readers and scholars drawn to imposing the tools must have a few uncomplicated wisdom of R. And a handful of the extra complex issues require a few mathematical knowledge.
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Additional resources for Applied Predictive Modeling: 1st ed. 2013, Corr. 2nd printing 2018 Edition
Applied Predictive Modeling: 1st ed. 2013, Corr. 2nd printing 2018 Edition by Max Kuhn,Kjell Johnson