Part 1:Introduction to Machine Learning and XGBoost with Case Studies

In this part, you will get an overview of the fundamentals of machine learning and the capabilities of XGBoost. You will achieve this through hands-on activities and an in-depth discussion of the XGBoost paper. This paper presents the capabilities of the XGBoost package for Python.

This part contains the following chapters:

• Chapter 1, An Overview of Machine Learning, Classification, and Regression
• Chapter 2, XGBoost Quick Start Guide with an Iris Data Case Study
• Chapter 3, Demystifying the XGBoost Paper
• Chapter 4, Adding on to the Quick Start – Switching out the Dataset with a Housing Data Case Study