As modern data scientists in competitive fields it becomes more and more important to stay current with the most recent techniques in statistical modeling and to learn best practices from the masters in the field.
The book ''Applied Predictive Modeling'' by Kuhn and Johnson provides the reader with exactly that type of information. Full of practical, helpful, and pertinent advice its exactly the type of book anyone with an interest in data mining, predictive modeling, or machine learning should be reading. Because of its strong standing in the community I wanted to learn this material as well as possible. To do this, I read and then worked all of the problems in each chapter. That work produced the
solution manual you find here. Whether you are looking at this book for a class or for your own self-study, having access to this material should help verify and solidify the concepts presented; in the end making you a much stronger statistical modeler.

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