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Data & Analytics · seb1n/awesome-ai-agent-skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Generate comprehensive marketing analytics reports by collecting KPIs, analyzing trends, and delivering actionable insights with attribution modeling and funnel analysis. | seb1n/ | 206 | — | ~2.7k | Automated safety check: Pass | MIT | 2 mo ago |
| 2 | Clean and preprocess datasets by handling missing values, removing duplicates, correcting types, resolving outliers, and enforcing validation schemas. | seb1n/ | 206 | — | ~2k | Automated safety check: Pass | MIT | 2 mo ago |
| 3 | Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly. | seb1n/ | 206 | — | ~2k | Automated safety check: Pass | MIT | 2 mo ago |
| 4 | Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling. | seb1n/ | 206 | — | ~2.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 5 | Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. | seb1n/ | 206 | — | ~2.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 6 | Analyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. | seb1n/ | 206 | — | ~1.7k | Automated safety check: Pass | MIT | 2 mo ago |
| 7 | Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision. | seb1n/ | 206 | — | ~2.6k | Automated safety check: Pass | MIT | 2 mo ago |