1. Manifold Learning
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
2. hyperbolic-learning
Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
1-2 of 2 user projects