👉 Complete ML Roadmap:
https://www.gatesmashers.com/roadmaps/machine-learning K-means Clustering is a popular unsupervised learning algorithm used to group data into clusters based on similarity. In this video, we’ll dive into how the K-means algorithm works, how to choose the right number of clusters, and its practical applications in data analysis.
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Timestamps:
00:00 – Introduction
00:28 – Example of cluster
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