Learning with R, tidyverse, and mlr is a hands-on guide to learning machine learning using R programming. The authors combine the unique capabilities of tidyverse and mlr to make model training easier and more efficient. In the book, you will find detailed explanations of the basic concepts of machine learning, realistic examples of the application of algorithms, and code templates for solving various tasks. You will learn about the process of data processing, selecting the best models, cross-validation and other important aspects of machine learning. "Learning with R, tidyverse and mlr" will help you not only understand the theory of algorithms, but also teach you practical skills in their application. This book will be an essential addition to your library if you are interested in machine learning and familiar with the R programming language.