From Practical Data Science with R, Second Edition by Nina Zumel and John Mount

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Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever-expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

Numerous updates in this brand new edition include: an introduction to the vtreat data preparation tool, a section on model explanation, and additional modeling techniques such as boosting and regularized regression! Learn more in the slide deck below.