Introduction to Unsupervised Machine Learning
What is Unsupervised Learning?
Unsupervised learning is a machine learning technique used to analyze and cluster unlabeled datasets. Unlike supervised learning, the algorithm tries to identify patterns and relationships without predefined output labels.
Applications
- Customer segmentation
- Recommendation systems
- Anomaly detection
- Market basket analysis
Example
python
from sklearn.cluster import KMeans
Next Tutorial: Clustering in Machine Learning
