This short lesson summarizes key takeaways from section 34
You will be able to:
- Understand and explain what was covered in this section
- Understand and explain why this section will help you become a data scientist
The key takeaways from this section include:
- Unsupervised learning techniques are primarily designed to solve Clustering, Dimensionality Reduction and Generative Modeling problems
- Principal Component Analysis is a powerful technique for reducing dimensionality while minimizing information loss