Using crowdsourced satellite data and ndvi values, trained a powerful multivariate classification machine learning model to classify land cover categories using'max_ndvi' and other temporal data. Geospatial data processing using logistic regression and neural networks. Rectified class imbalance, bias-variance tradeoff, and dimensionality reduction.
active 2024-01-12 → 2025-02-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 407 days from 2024-01-12 to 2025-02-21. Pushes: 4 total, peak 4 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: 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 |
|---|---|---|---|---|
| ManoharVit | 4 | 4 | 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 — 1 stars here means stars gained during the window, not the repo's star count.