Applied Predictive Modeling Max Kuhn and Kjell Johnson is an English-language textbook focused on the predictive modeling process. This title is suitable for professionals and students who delve into applied statistics and data analysis.
The book covers the complete modeling process, starting with data preprocessing, data splitting, and the basic principles of model tuning. It then clearly explains various regression and classification techniques, with plenty of practical examples and R code. By combining theory with hands-on examples, it is suitable both as a reference work and as support for advanced courses.
With a focus on Applied Predictive Modeling, this book offers a clear and accessible approach to applying predictive models to real data. Attention is given to both intuitive explanations and the underlying concepts, making it useful for both beginners and experienced users in the field.
This reference work aligns with topics such as probability and statistics, mathematical and statistical software, and general probability & statistics. It is a valuable tool for anyone who wants to build professional knowledge about the modeling process.