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analysing last.fm and spotify listening history. using playlists as models for classification using SVMs and MLPs
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README.md

Listening Analysis

Notebooks, analysis and other stats.

Combining Spotify & Last.fm data for exploring habits and trends Uses two data sources,

  1. Last.fm scrobbles
  2. Spotify audio features

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. These Uris can be used to retrieve Spotify feature descriptors. all_joined() gets a BigQuery of that joins the scrobble time series with their audio features and provides this as a panda frame.