This project is for the purpose in practicing the use of dimensionality reduction methods to visualize datasets.
Techniques that i wanted to look at are:
- PCA (Principal Component Analysis)
- TSNE (T-distributed Stochastic Neighbor Embedding)
- UMAP (Uniform Manifold Approximation and Projection)
- PyMDE (Python Minimum-Distortion Embedding)
Installation is done with Poetry (although pip is possible too for fallback purposes).
- run
poetry install - run
pre-commit install - optionally, add more packages using
poetry add <package>