{ "item_title" : "Predictive Analytics using R", "item_author" : [" Jeffrey Strickland "], "item_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 http: //www.r-project.org/. The book is organized so that statistical models are presented first (hopefully in a logical order), followed by machine learning models, and then applications: uplift modeling and time series. One could use this a textbook with problem solving in R-but there are no by-hand exercises.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/31/284/101/131284101X_b.jpg", "price_data" : { "retail_price" : "69.94", "online_price" : "69.94", "our_price" : "69.94", "club_price" : "69.94", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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