Get going with tidymodels, a collection of R packages for Modeling and machine learning.
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.
You\'ll understand why the tidymodels Framework has been built to be used by a broad range of people.
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.
RStudio engineers Max Kuhn and Julia Silge demonstrate ways to create models by focusing on an R dialect called the tidyverse.
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.
Get going with tidymodels, a collection of R packages for Modeling and machine learning
