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.
