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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 2 | Build ARIMA models for time series forecasting with trend and seasonality decomposition. | asgard-ai-platform/ | 242 | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 3 | Combine multiple forecasting models into ensemble predictions for improved accuracy. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 4 | Apply exponential smoothing methods for time series forecasting with weighted moving averages. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 5 | Build forecasting models with Meta's Prophet for business time series with holidays and changepoints. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 6 | Build employee turnover prediction models to identify flight risk and retention drivers. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 7 | Implement Statistical Process Control charts to monitor production process stability. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 8 | Apply Benford's Law to detect anomalies in numerical datasets by analyzing first-digit frequency distributions. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 9 | Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage. | asgard-ai-platform/ | 242 | — | ~993 | Automated safety check: Pass | MIT | 4 mo ago |
| 10 | Conduct cohort analysis to track user behavior over time, build retention matrices, and compare cohort performance. | asgard-ai-platform/ | 242 | — | ~1.2k | Automated safety check: Pass | MIT | 4 mo ago |
| 11 | Design predictive maintenance strategies using sensor data, ML models for remaining useful life (RUL), and the P-F curve framework. | asgard-ai-platform/ | 242 | — | ~1.5k | Automated safety check: Pass | MIT | 4 mo ago |
| 12 | 12.Stat Eda Conduct Exploratory Data Analysis (EDA) using descriptive statistics, visualizations, and data quality checks. | asgard-ai-platform/ | 242 | — | ~954 | Automated safety check: Pass | MIT | 4 mo ago |
| 13 | Conduct statistical hypothesis testing including null/alternative hypothesis formulation, p-values, Type I/II errors, and test statistic selection. | asgard-ai-platform/ | 242 | — | ~1.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 14 | Design data pipelines covering ETL vs ELT architectures, data source integration, scheduling, quality checks, and warehouse design. | asgard-ai-platform/ | 242 | — | ~1.5k | Automated safety check: Pass | MIT | 4 mo ago |