Titlebook: Applied Predictive Modeling; Max Kuhn,Kjell Johnson Textbook 2013 Springer Science+Business Media, LLC, part of Springer Nature 2013 Model

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ls as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety 978-1-4939-7936-3978-1-4614-6849-3

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Over-Fitting and Model Tuningational to the remaining parts of the book. Core to model tuning are appropriate ways for splitting (or spending) the data, which is covered in Section 4.3. Resampling techniques (Section 4.4) are an alternative or complementary approach to data splitting. Recommendations for approaches to data spli

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Textbook 2013nd 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. The text illustrates all parts of the modeling process through many hands-on,

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Introduction to Environmental Chemistry) predictors, all of which must be done carefully so that predictive information is not lost or erroneous information is added to the data. The computing section (3.8) provides R syntax for the previously described preprocessing steps. Exercises are provided at the end of the chapter to solidify concepts.

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Data Pre-processing) predictors, all of which must be done carefully so that predictive information is not lost or erroneous information is added to the data. The computing section (3.8) provides R syntax for the previously described preprocessing steps. Exercises are provided at the end of the chapter to solidify concepts.

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