Have you ever wondered how streaming services seem to know exactly what TV shows or movies to recommend to you? Or how financial institutions can accurately target individuals for personalized loans? 🤔 In this video, we introduce Cluster Analysis, where data patterns and similarities emerge to drive smarter decisions!

Cluster Analysis tries to explore the similarities between the observations or rows in a structured data. This helps us uncover the patterns leading to segments and hence it comes under Unsupervised Machine Learning.

This video targets to emphasize the significance of Cluster Analysis. We explore how it's not just about numbers – it's about understanding the hidden relationships that drive decisions. From uncovering consumer preferences to optimizing marketing strategies, Cluster Analysis is the key that unlocks valuable insights from seemingly disparate data points.

Good Clusters needs to satisfy two properties:
1) All the observations within a cluster should be similar
2)The observations belonging to different clusters should be as different
as possible

Be ready for more such tutorials coming your way.

Happy Learning!

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