Unsupervised learning is a machine learning technique to build models from unlabeled data. This video covers all the basics of unsupervised learning algorithms along with the applications. You will learn what clustering is and the different types of clustering, such as hierarchical and K Means Clustering. Finally, you will build clustering models in Python to solve business problems.

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1. Learning Objectives - 00:15
2. Overview - 00:25
3. Examples and applications of unsupervised learning - 02:17
4. Clustering - 04:37
5. Hierarchical Clustering - 06:27
6. Hierarchical Clustering Example - 08:47
7. Demo: Clustering animals - 11:37
8. K Means Clustering - 16:27
9. Optimal Number of Clusters -18:17
10. Demo: Cluster Based Incentivization - 20:27
11. Key Takeaways - 28:17

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