Part V. Machine Learning

Machine learning uses patterns in observed data to make predictions or identify groups. This part introduces model building and evaluation, with attention to what the results can support.

Conceptual Arc

Begin with Multiple Regression. Continue through Classification. Finish with Clustering.

Chapters in This Part

Multiple Regression

Classification

Topics: Training, Testing, and Accuracy.

Clustering

Topics: Clustering Concepts; K-Means Workflow; Interpreting Clusters.

Using This Overview

Open a chapter above for its learning objectives, explanations, and activities. Follow your course schedule when selecting chapters and assignments.