The project involves employing Exploratory Data Analysis (EDA) to gain a deeper understanding of the dataset. Subsequently, we will construct models using Multiple Linear Regression, Decision Tree, Random Forest, SVM, and K Mean Clustering to predict phone prices based on their features.
active 2024-03-11 → 2024-08-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 155 days from 2024-03-11 to 2024-08-12. Pushes: 3 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 |
|---|---|---|---|---|
| ngoctrang315 | 3 | 3 | 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.