A project using economic indicators to predict the performance of the UK luxury fashion sector. A dataset of macroeconomic indicators is created and various time-series models are trained and tested. The Prophet model was found to be the best performing model, achieving a MAPE of 11.36%.
active 2023-09-27 → 2024-09-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 342 days from 2023-09-27 to 2024-09-02. Pushes: 4 total, peak 3 in a day. Pull requests: 4 total, peak 2 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 |
|---|---|---|---|---|
| jsk-5 | 5 | 3 | 2 | 0 |
| ben-sanati | 3 | 1 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.