This section of the course walks through a high level overview of machine learning, data science, and how they fit in the artificial intelligence ecosystem.

This section of the course walks through popular supervised learning algorithms, including case studies and explanations for both classification and regression situations.

The guides in this section of the course walk through a number of unsupervised learning algorithms, with a focus on clustering systems.

This section of the course contains guides that explain key machine learning concepts and terms. You can use it as a reference.

This section describes the course capstone project for the introduction to machine learning program.