This project predicts salaries based on years of experience using supervised regression techniques. It includes data preprocessing, exploratory analysis, and modeling with Linear Regression, Decision Tree, and Random Forest. Evaluation uses MSE and R², with Python libraries like pandas, scikit-learn, and seaborn.
active 2025-01-15 → 2025-01-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-15 to 2025-01-15. Pushes: 2 total, peak 2 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 |
|---|---|---|---|---|
| FannyAndri | 2 | 2 | 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.