This repository contains code for a data mining project focused on predicting maternal mortality risks in Cameroon. It includes data warehouse design, ETL processes, OLAP queries, and classification algorithms ( Random Forest) to provide insights for improving maternal healthcare outcomes.
active 2024-12-10 → 2025-01-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 26 days from 2024-12-10 to 2025-01-04. Pushes: 3 total, peak 1 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 |
|---|---|---|---|---|
| AshleyMekolle | 5 | 3 | 2 | 0 |
| steph-km | 1 | 0 | 1 | 0 |
| NdiBetrand201 | 1 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#2AshleyMekolle2024-12-31 00:31
- Pull request#2steph-km2024-12-31 00:28
- Pull request#1AshleyMekolle2024-12-27 08:16
- Pull request#1NdiBetrand2012024-12-21 21:58
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.