The objective of our project is to develop a predictive model that can forecast the popularity of songs on Spotify. To achieve this, we will leverage a comprehensive dataset containing various features related to each song. These features encompass details such as song attributes, information, and specific metrics from the Hot 100 chart.
active 2024-04-30 → 2024-05-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 26 days from 2024-04-30 to 2024-05-25. Pushes: 32 total, peak 28 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| markgamall | 32 | 32 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.