Introduction

This book is designed around the concept of utilizing competing statistical learning methods with the aim of answering real questions to form actionable insights.
You will learn:

• Methods for statistical learning
• How to compare these methods
• How to compare model accuracy
• How to create effective visualizations to aid in telling the story

The focus of the book is on the concepts and computation using programming tools, not formulaic derivations. The goal is to be able to transform datasets into actionable insights by employing the appropriate statistical learning method for the problem at hand.

Special thanks to the Online Instructional Design Team especially Ms./Mrs. Emily Weller for making this project a reality. You are the best.