Week 3 - Cluster Analysis
Learning Objectives
After today's class, you should be able to:
- Understand and apply cluster analysis techniques, including the k-Means algorithm, to segment data into a set of homogeneous clusters of records for the purpose of generating insight.
- Use GitHub Desktop to clone a repository and download starter Jupyter notebooks for in class demos.
- Develop and implement cluster analysis models in Python.
Class Agenda
- Cluster Analysis Slides
[5 min]Break- Cluster Analysis Python Demo
[30 min]Python Q&A/Debugging Help
Task List
- Optional Reading: Chapters 3-4 - Data Visualization and Dimension Reduction
- Required Reading: Chapter 15 - Cluster Analysis
- Complete and Submit HW2_Cluster_Analysis on Canvas/Gradescope.
- Complete and Submit PA1_Instacart_Recommendations on Canvas/Gradescope.