Unsupervised Learning: Clustering

1. 1Apply K-Means clustering algorithm to a dataset to identify customer segments
2. 2Use Hierarchical clustering to visualize the structure of a dataset
3. 3Configure a clustering model using scikit-learn library in Python
4. 4Test the performance of a clustering model using metrics like silhouette score
5. 5Compare the results of different clustering algorithms to choose the best one

Data scientists and analysts can benefit from this knowledge to identify patterns in customer behavior, while product managers can use it to inform product decisions

💡 Unsupervised learning clustering helps identify patterns in data without prior knowledge of the expected output

Discover hidden patterns in your data with unsupervised learning clustering! #MachineLearning #DataScience