Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R - Couverture souple

Chesterfield, Greyson

 
9798304618762: Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R
Couverture souple
ISBN 13 : 9798304618762
Editeur : Independently published, 2025

Synopsis

Unlock the full potential of R with "Learn R for Data Science and Machine Learning: Build Data Models, Visualizations, and Analytics with R" by Greyson Chesterfield. This all-encompassing guide equips aspiring and experienced data scientists, analysts, and machine learning enthusiasts with the skills to harness the power of R for solving complex data challenges.

This book offers a hands-on approach to data science, focusing on practical applications that transform data into actionable insights. Here's what you'll gain:

  • Master Data Wrangling: Clean, organize, and manipulate data efficiently with R’s robust libraries like dplyr and tidyr.
  • Create Stunning Visualizations: Use ggplot2 and other visualization tools to communicate your findings with clarity and impact.
  • Build Predictive Models: Explore regression, classification, and clustering techniques to solve real-world problems.
  • Dive into Machine Learning: Leverage R’s machine learning packages such as caret and randomForest to train and evaluate models.
  • Tackle Big Data: Learn to process large datasets and perform scalable computations using R and related tools.

With step-by-step tutorials, real-world examples, and expert tips, Greyson Chesterfield simplifies complex concepts, making them accessible to all readers. Whether you're looking to start your data science journey or enhance your skills, this book is your roadmap to success in the data-driven world.

Elevate your career and turn data into decisions—grab your copy today and become a master in data science and machine learning with R!

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798304618762
Reliure
Broché
Nombre de pages
237
Coordonnées du fabricant
non disponible
Personne responsable
non disponible