https://github.com/wildanazz/letterboxd-umap

Applying UMAP to visualize popular films from Letterboxd.
https://github.com/wildanazz/letterboxd-umap

jupyter-notebook umap

Last synced: 2 days ago
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Applying UMAP to visualize popular films from Letterboxd.

• Host: GitHub
• URL: https://github.com/wildanazz/letterboxd-umap
• Owner: wildanazz
• Created: 2024-12-31T06:27:42.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2025-01-12T07:54:55.000Z (9 days ago)
• Last Synced: 2025-01-12T08:26:51.817Z (9 days ago)
• Topics: jupyter-notebook, umap
• Language: Jupyter Notebook
• Homepage: https://wildanazz.github.io/letterboxd-umap/
• Size: 8.42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Letterboxd UMAP

My attempt to apply UMAP (Uniform Manifold Approximation and Projection), a dimensionality reduction technique, to visualize or represent Letterbox movie data.

![UMAP](./data/umap.png)