Brice-Vergnou/spotify_recommendation
Finding which songs I like or not based on songs statistics
This project helps music listeners automatically identify songs they might like or dislike. By inputting your playlists of favorite and least favorite songs, it analyzes their musical characteristics (like danceability, energy, and tempo) and outputs a personalized model that predicts your preference for new tracks. This is ideal for any music enthusiast who wants to discover new music tailored to their taste without manual filtering.
No commits in the last 6 months.
Use this if you want to automatically predict whether you'll like a song based on its audio features, streamlining your music discovery process.
Not ideal if you prefer exploring music manually or if your taste is too diverse to be captured by a simple 'like' or 'dislike' classification.
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17
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 29, 2021
Commits (30d)
0
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