In this track, I've learned how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, I've gotten hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. Then I've worked with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language pro
active 2023-08-19 → 2023-10-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 56 days from 2023-08-19 to 2023-10-13. Pushes: 7 total, peak 3 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: 3 total, peak 1 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 |
|---|---|---|---|---|
| Safimirza47 | 7 | 7 | 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 — 3 stars here means stars gained during the window, not the repo's star count.