The notebook implements a Multiple Linear Regression model. The model is trained and tested on a dataset to predict profit based on various input features. It also includes a scatter plot comparing the actual profit values with the predicted ones. This visualization aids in understanding the performance and accuracy of the implemented model.
active 2024-01-14 → 2024-01-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-01-14 to 2024-01-14. Pushes: 5 total, peak 5 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
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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 |
|---|---|---|---|---|
| ibra56 | 5 | 5 | 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.