A dataset capturing productivity, skills, , and performance of AI developers
Dataset Description
This dataset presents structured information on AI developer performance, combining skills, experience, productivity, and work-related factors. It is designed for data analysis and machine learning tasks focused on evaluating and predicting developer performance.
- Data of 1,000 AI developers
- Technical skill metrics (programming, ML, tools)
- Experience-related features (years, projects)
- Productivity indicators (efficiency, output)
- Work environment factors (workload, collaboration)
- Suitable for EDA and visualization
- Applicable to ML performance modeling
🔹 Highlights
- Covers skills, experience, and productivity metrics
- Ready for EDA and machine learning
- Suitable for students and Kaggle practice
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