Spotify - Create Playlist Anomaly Detector

[FlorentLvr]

Authentication: Since we are dealing with user-specific data, we need to use SpotifyOAuth to authenticate.

Data Retrieval: Use Spotipy and your playlist ID to fetch playlist tracks. playlist_id = 'YOUR_PLAYLIST_ID' results = sp.playlist_tracks(playlist_id) tracks = results['items']

Feature Extraction: Extract relevant features from the playlist data. In this case, we want to extract name, artist and danceability.

Anomaly Detection Algorithm Use anomaly detection algorithm such as One-Class SVM to detect anomalies.

Threshold Setting: Set appropriate thresholds for anomaly detection. This involves determining what level of deviation from normal behavior should be considered an anomaly.

Alerting Mechanism: Let user know of the anomalies. if anomalies > threshold: alert_user("Anomaly detected in your playlist!")

Visualization: Create visualizations through time series graphs to help users understand the detected anomalies. plot_anomalies(features, anomalies)