rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Star & Fork Trend (24 data points)
Multi-Source Signals
Growth Velocity
rbhatia46/Data-Science-Interview-Resources has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Data-Science-Interview-Resources | OpenAgentsControl | mlops-course | awesome-quantum-machine-learning |
|---|---|---|---|---|
| Stars | 3.3k | 3.3k | 3.3k | 3.3k |
| Forks | 758 | 276 | 593 | 768 |
| Weekly Growth | +0 | +9 | +0 | +0 |
| Language | N/A | TypeScript | Jupyter Notebook | HTML |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | CC0-1.0 |
Capability Radar vs OpenAgentsControl
Last code push 609 days ago.
Fork-to-star ratio: 22.8%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.