Performing EDA to gain insights from store sales data and forecasting store sales using different machine learning models such as polynomial regression, random forest and histgradient boost ,comparing them to find best suited model. Using Time series models like Sarimax to forecast store sales and also used fb prophet for forecasting.
active 2024-07-26 → 2024-08-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 34 days from 2024-07-26 to 2024-08-28. Pushes: 9 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 2 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
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- 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 |
|---|---|---|---|---|
| SameerSri72 | 11 | 9 | 0 | 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.