Using the signal information from 24 sensors to predict the movement of robot. The 24 sensor data was processed and transformed to 4 input values. Applying Naive Bayes, Decision Tree, Single and Multi-layer Perceptron, SVM and XGBoost algorithms Used Streamlit to generate a web based interface to display the output. This dataset is a perfectly balanced dataset so the Decision Tree and XGBosst provide 100% accuracy.
active 2024-01-31 → 2024-08-12 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 195 days from 2024-01-31 to 2024-08-12. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 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
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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 |
|---|---|---|---|---|
| dependabot[bot] | 2 | 0 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.