I use Pandas to clean and structure datasets, applying techniques like filtering and grouping. For machine learning, I use scikit-learn to preprocess data, build models, and evaluate performance using algorithms like decision trees or regression. This workflow helps efficiently manage and analyze data for insights.
active 2024-10-15 → 2024-10-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-10-15 to 2024-10-15. Pushes: 0 total, peak 0 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
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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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.