In this Machine Learning Engineering lab, we traverse from meticulous data cleaning to deep exploratory analysis, extracting nuanced insights into Chicago crime data. The capstone is a polished XGBoost model, fine-tuned via step-wise Hyperopt and honed through Recursive Feature Elimination, achieving an commendable 89% precision rate.
active 2023-12-15 → 2024-04-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 115 days from 2023-12-15 to 2024-04-07. Pushes: 45 total, peak 24 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
- 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 |
|---|---|---|---|---|
| FutureGoose | 45 | 45 | 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.