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Applied Predictive Modeling by Max Kuhn and Kjell Johnson, originally published in 2013, is an essential guide for data scientists and analysts seeking to master predictive modeling. Using R, the authors provide hands-on examples, real-world case studies, and best practices for model building, evaluation, and tuning.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.