Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
active 2023-09-22 → 2024-06-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 279 days from 2023-09-22 to 2024-06-26. Pushes: 9 total, peak 8 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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 |
|---|---|---|---|---|
| atharvapathak | 9 | 9 | 0 | 0 |
| adonnini | 2 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#2adonnini2024-03-24 20:04sklearn.datasets.get_X_y does not exist
- Issue#1adonnini2024-03-19 14:28All groupby statements in generate_lag_features cause SpecificationError("nested renamer is not supported")
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.