Course Summary
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You should now be able to:
- Define clustering for ML applications.
- Discuss best practices and considerations when choosing to use clustering.
- Follow the clustering workflow.
- Employ the k-means algorithm to solve for clustering needs.
- Compare popular clustering approaches.
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Last updated 2023-11-10 UTC.
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