This lesson covers the following topics:
- Overview of unsupervised learning algorithms in Scikit-learn
- Clustering algorithms: K Means, DBScan, Hierarchical clustering, etc.
- Dimensionality reduction (PCA) and manifold learning (t-SNE)
- Creating a recommender system using collaborative filtering
Please provide your valuable feedback on this link to help us improve the course experience.
Ask questions and get help on the discussion forum.
Attend weekly study hours on the Jovian Discord Server