A dataset for predicting music listening time, published on Kaggle. The dataset's specific size, features, and collection methodology are not detailed in the available metadata. Its content and structure require verification after download.
Use Cases
- Build a regression model to predict user listening duration (inferred from domain, verify after download)
- Analyze factors influencing music consumption patterns (inferred from domain, verify after download)
- Create a recommendation system feature based on predicted engagement (inferred from domain, verify after download)
Strengths
- Published on Kaggle, a platform with an active community for data sharing and discussion.
Limitations
- Metadata is minimal; actual content requires verification after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license are unknown, which limits suitability assessment.