Description
Book Synopsis: 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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Details
Looking to take your modeling and machine learning skills to the next level? Look no further than "Tidy Modeling with R: A Framework for Modeling in the Tidyverse". This comprehensive book is your ultimate guide to mastering tidymodels, a collection of R packages designed specifically for modeling and machine learning. Whether you're a data analyst, business analyst, or data scientist, this practical introduction will teach you how to effectively utilize the tidymodels framework for your work.
Created by renowned RStudio engineers Max Kuhn and Julia Silge, this book takes a hands-on approach to teach you how to create models using the tidyverse, an R dialect that adopts tidyverse principles. By using this framework, you'll have access to a consistent and flexible approach for your modeling tasks. Not only will you learn the steps necessary to build a model from beginning to end, but you'll also gain a deep understanding of various modeling and feature engineering approaches.
One of the highlights of "Tidy Modeling with R" is its emphasis on helping you avoid common pitfalls of modeling, such as overfitting. The authors provide practical methods to prepare your data for modeling and guide you through tuning your models for optimal performance. Additionally, good statistical practices are introduced to help you confidently compare, evaluate, and choose the best models for your specific needs.
Don't miss out on the opportunity to enhance your modeling skills with the tidymodels framework. Get your hands on "Tidy Modeling with R: A Framework for Modeling in the Tidyverse" today and unlock your full modeling potential.
To purchase "Tidy Modeling with R" and start your modeling journey, click here.
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