Learn to expertly apply a range of machine learning methods to real data with this practical guide. This beginner-friendly book teaches machine learning while avoiding complex math. Using the R programming language, it contains few equations, but is packed with real dataset examples and sophisticated advice on how to avoid common pitfalls. You'll review a range of machine learning methods, from the simple to the more complex. You'll encounter dozens of illustrative examples, like predicting no-shows in medical appointments, developing an aid to diagnosing diabetes, forecasting the demand for bike rentals given certain weather conditions, and much more. You'll learn not only how to use machine learning methods, but also why these methods work, giving you a strong groundwork for future projects and more advanced study. After finishing this book, you will be well equipped to start applying machine learning techniques to your own datasets, including those that arise in your job or business.