Tidy Modeling with R offers a comprehensive approach to building and managing predictive models within the R programming environment, emphasizing the principles of tidy data and reproducible workflows. Authored by Max Kuhn and Julia Silge, the book distills complex modeling concepts into accessible practices that integrate smoothly with the tidyverse ecosystem. This resource is indispensable for data scientists and analysts seeking a structured, consistent framework for modeling that promotes clarity and efficiency.

• Emphasis on the tidyverse paradigm: The book aligns modeling workflows with tidy data principles, enhancing interoperability and clarity.
• Separation of data...
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