MISSION 26

Clustering Basics

Learn how to use clustering to group US senators by voting pattern.

Objectives

  • Learn how clustering helps you find patterns in data
  • Learn how to use k-means clustering

Mission Outline

1. Clustering overview
2. The dataset
3. Exploring the data
4. Distance between Senators
5. Initial clustering
6. Initial clustering
7. Exploring the clusters
8. Exploring Senators in the wrong cluster
9. Plotting out the clusters
10. Finding the most extreme
11. Next steps
12. Takeaways

machine-learning-intermediate

Course Info:

Machine Learning in Python: Intermediate

Intermediate

The average completion time for this course is 10-hours.

This course requires a premium subscription and includes 1 free mission and 5 paid missions, which includes 1 guided project.  It is the 21st course in the Data Scientist in Python path.

START LEARNING FREE

Take a Look Inside