2021-02-01 01:37:22 +00:00
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# Listening Analysis
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2020-01-25 11:40:20 +00:00
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2021-02-04 13:34:25 +00:00
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Notebooks:
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* [analysis](analysis.ipynb) for a intro to the dataset and premise
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2021-05-10 00:18:57 +01:00
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* [artist](artist.ipynb), [album](./album.ipynb), [track](./track.ipynb) & [playlist](playlist.ipynb) investigations
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2021-02-04 13:34:25 +00:00
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* [stats](stats.ipynb) for high-level stats about the dataset (Spotify feature miss ratio)
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2021-05-06 16:19:44 +01:00
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* [playlist SVM](./playlist-svm.ipynb) using Scikit to classify tracks using the contents of playlists as models
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* [playlist NN](./playlist-nn.ipynb) using a multi-layer perceptron to classify tracks using the contents of playlists as models
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2021-02-01 01:37:22 +00:00
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Combining Spotify & Last.fm data for exploring habits and trends
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Uses two data sources,
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1. Last.fm scrobbles
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2. Spotify audio features
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The two are joined by searching Last.fm tracks on Spotify to get a Uri, the track name and artist name are provided for the query.
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2021-02-20 00:16:03 +00:00
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These Uris can be used to retrieve Spotify feature descriptors.
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