Introduction to R for Machine Learning: Data Structures, Tidyverse, and Data Wrangling

By Dorcas O. Folarin and MARY M. SLESSOR

Introduction to R for Machine Learning: Data Structures, Tidyverse, and Data Wrangling is a comprehensive guide for beginners and intermediate learners who want to master R for data science and machine learning applications. This book begins with a clear introduction to R programming, exploring fundamental data structures such as vectors, matrices, lists, and data frames. It then delves into the Tidyverse, the powerful collection of R packages designed for efficient data manipulation, visualization, and analysis.
Readers will gain hands-on experience in data wrangling, learning how to clean, transform, and prepare datasets for machine learning models. Through practical examples, exercises, and real-world datasets, this book equips readers with the essential skills to confidently handle and analyze data in R, laying a strong foundation for advanced machine learning techniques.
Whether you are a student, analyst, or aspiring data scientist, this book bridges the gap between theoretical concepts and practical applications, making R an accessible and powerful tool for your data-driven projects.

• Format: Paperback
• Language: English
• ISBN: B0FVXBDJ1K
• ISBN13: 9798269556208
• Release Date: October 2025
• Publisher: Independently Published
• Length: 170 Pages
• Weight: 0.52 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"