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Tidy Modeling with R: A Framework for Modeling in the Tidyverse
  • Published Year: 2022
  • Page count: 626
  • File Size: 20 MB
  • Language: English
  • Published by: O'Reilly Media
  • Visited by: 142
  • Rating/Review: 5.0
  • ISBN: 1492096482
    9781492096481

Keywords:

Generate PowerPoint Files with LLM
Generate PowerPoint Files with LLM

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Tidy Modeling with R: A Framework for Modeling in the Tidyverse

5.0

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Beginner Artificial Intelligence (AI) English
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Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work. RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse. Software that adopts tidyverse principles shares both a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. You'll understand why the tidymodels framework has been built to be used by a broad range of people. With this book, you will: Learn the steps necessary to build a model from beginning to end Understand how to use different modeling and feature engineering approaches fluently Examine the options for avoiding common pitfalls of modeling, such as overfitting Learn practical methods to prepare your data for modeling Tune models for optimal performance Use good statistical practices to compare, evaluate, and choose among models

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Authors:

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Julia Silge

Reviews:

5.0

Based on 1 users review

nandan0
nandan0

June 7, 2025, 1:57 a.m.

Despite the advice of the authors’ coworkers, they choose to omit the package name in calls to functions using the myriad tidymodels packages. While they suggest it is for ease of reading, it makes debugging code and using the examples significantly more difficult when you don’t know which of the dozen or so different packages the function comes from and you enforce packageName::function() formatting in your code to make it easier to debug and trace errors. However, the advice and utility of the content is great.