Preface

This workshop book is a comprehensive resource designed to offer a deep dive into the essential aspects of both statistics and machine learning. It provides explanations of key concepts with practical examples and hands-on exercises to enable a holistic learning experience. Starting with the fundamentals, the book walks you through the complete model development process, covering everything from data preprocessing to model development.

In addition to its focus on machine learning, the book also delves into R’s statistical capabilities. You’ll learn how to manipulate various data types and tackle complex mathematical challenges, from algebra and calculus to probability and Bayesian statistics. The text even guides you through linear regression techniques and more advanced statistical methodologies.

By the conclusion of this workshop book, you’ll not only have a robust foundational understanding of statistics and machine learning, but you will also be proficient in using R’s extensive libraries for tasks such as data processing and model training. Through this integrated approach, you’ll emerge well equipped to leverage the full power of R in your future projects.