What You'll Learn

1. What unsupervised learning is and how it differs from supervised learning.
2. How it applies to smart homes — from energy optimization to anomaly detection.
3. How it supports accessible web design — improving UX for diverse audiences.
4. How to implement clustering and dimensionality reduction in Python.
5. Best practices for scaling, testing, and monitoring unsupervised learning systems.