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date duration maintainer order title
w8d2
45
todo
10
Clustering K-Means Lab

Sample Lesson

Revision Notes

This lesson is meant to be a hands-on lab for performing clustering.

Objectives

Students can

  • Apply K-Means algorithm in code on real data.
    • Tune the relevant hyperparameters (initialization, multiple runs, etc.) and explain what each does.
    • Use inertia curve to choose K.

Instructor notes

Additional Resources