ML
amitshekhariitbhu/machine-learning-interview-questions
Your Cheat Sheet for Machine Learning Interview – Questions and Answers.
156 32 +0/wk
GitHub
ai artificial-intelligence deep-learning deep-learning-interview deep-learning-interview-questions interview interview-questions llm llm-interview machine-learning machine-learning-interview machine-learning-interview-questions
Trend
3
Star & Fork Trend (21 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
amitshekhariitbhu/machine-learning-interview-questions has +0 stars this period . 7-day velocity: 2.0%.
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| Metric | machine-learning-interview-questions | openclaw-desktop | french-sentiment-analysis-with-bert | cordon |
|---|---|---|---|---|
| Stars | 156 | 156 | 156 | 156 |
| Forks | 32 | 22 | 39 | 5 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Markdown | TypeScript | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | MIT | Apache-2.0 |
Capability Radar vs openclaw-desktop
machine-learning-interview-questions
openclaw-desktop
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 100
Fork-to-star ratio: 20.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.