Applied Predictive Modeling Max Kuhn and Kjell Johnson's English-language study book provides insight into the entire predictive modeling process. It includes extensive explanations and practical applications for anyone who wants to delve into applied predictive models.
This reference work covers the full modeling process, starting with data preprocessing, data splitting, and model tuning. It provides clear explanations of widely used and modern regression and classification techniques, illustrated with practical examples and extensive R code. The book is suitable as an introduction, as a reference for professionals, and as a text for advanced courses in applied predictive modeling. Each chapter includes exercises and uses data from the associated R package.
The book aligns with fields such as Probability and statistics, Mathematical and statistical software, and Biostatistics. Expect a practical and in-depth approach to predictive modeling aimed at both theoretical and practical applications.