Listening Analysis
Notebooks:
- analysis for a intro to the dataset and premise
- artist, album, track & playlist investigations
- stats for high-level stats about the dataset (Spotify feature miss ratio)
- playlist SVM using Scikit to classify tracks using the contents of playlists as models
- playlist NN using a multi-layer perceptron to classify tracks using the contents of playlists as models
Combining Spotify & Last.fm data for exploring habits and trends Uses two data sources,
- Last.fm scrobbles
- 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.
Description
analysing last.fm and spotify listening history. using playlists as models for classification using SVMs and MLPs
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