Free Applied Predictive Modeling
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Winner of the 2014 Technometrics Ziegel Prize for Outstanding BookApplied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performanceall of which are problems that occur frequently in practice.The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code for each step of the process. The data sets and corresponding code are available in the book's companion AppliedPredictiveModeling R package, which is freely available on the CRAN archive.This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package.Readers and students interested in implementing the methods should have some basic knowledge of R. And a handful of the more advanced topics require some mathematical knowledge. Package AppliedPredictiveModeling Package AppliedPredictiveModeling February 19 2015 Type Package Title Functions and Data Sets for 'Applied Predictive Modeling' Version 11-6 Applied Predictive Modeling - Winner of the 2014 Technometrics Ziegel Prize for Outstanding Book Applied Predictive Modeling covers the overall predictive modeling process beginning with the Applied Predictive Modeling Applied Predictive Modeling By Max Kuhn and Kjell Johnson The back cover blurb: This text is intended for a broad audience as both an introduction to predictive Computing Applied Predictive Modeling Applied Predictive Modeling is a text on the practice of machine learning and pattern recognition Applied Predictive Modeling in R - Squarespace Applied Predictive Modeling in R R useR! 2014 Max Kuhn PhD Pzer Global R&D Groton CT maxkuhn@pzercom Applied Predictive Modeling - Google Books Applied Predictive Modeling covers the overall predictive modeling process beginning with the crucial steps of data preprocessing data splitting and foundations of Applied Predictive Modeling Max Kuhn Springer Applied Predictive Modeling covers the overall predictive modeling process beginning with the crucial steps of data preprocessing data splitting and Applied Predictive Modeling - Springer Applied Predictive Modeling Authors: A Short Tour of the Predictive Modeling Process Max Kuhn Kjell Johnson Download PDF (401KB) View Chapter Applied predictive modeling (eBook 2013) [WorldCatorg] Get this from a library! Applied predictive modeling [Max Kuhn; Kjell Johnson] -- This text is intended for a broad audience as both an introduction to predictive Applied Predictive Modeling - Squarespace Models So in theory a linear or logistic regression model is a predictive model? Yes As will be emphasized during this talk: the quality of the prediction is the focus
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