Tidy Modeling with R: A Framework for Modeling in the Tidyverse
Author: Max Kuhn and Julia Silge
Publisher Finelybook 出版社：O'Reilly Media; 1st edition (August 16, 2022)
pages 页数：381 pages
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 Author: 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 Author: 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