Unsupervised Learning Explained: When Labels Do Not Exist in Data Scientist
Unsupervised Learning
Unlike supervised learning, here we do not have labeled data. The algorithm tries to identify hidden structures inside the dataset.
Common Examples
- Customer segmentation
- Anomaly detection
- Recommendation grouping
Most businesses use clustering to group similar customers or products.
Next: K-Means Clustering

