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Predictive Analytics using R
Authors: Jeffrey Strickland
Description:
This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling. A predictive model is a statistical model or machine learning model used to predict future behavior based on past behavior. In order to use this book, one should have a basic understanding of mathematical statistics - it is an advanced book. Some theoretical foundations are laid out but not proven, but references are provided for additional coverage. Every chapter culminates in an example using R. R is a free software environment for statistical computing and graphics. You may download R, from a preferred CRAN mirror at The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then uplift modeling and time series. One could use this a textbook with problem solving in R-but there are no "by-hand" exercises.
Goodreads page:
https://www.goodreads.com/book/show/32153388-predictive-analytics-using-r
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