alonso-skills/sql-ml-features
Use when preparing data for machine learning from SQL Server — feature engineering in T-SQL, building training/test datasets, statistical aggregations for ML pipelines, sampling strategies, data normalization and encoding in SQL, writing queries that feed pandas or scikit-learn, exporting to Parquet or CSV for model training, or when a data scientist asks for a 'feature table' or 'training set' from a SQL Server database.
80
Quality
100%
Does it follow best practices?
Impact
—
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plugin.json.tessl-plugin/
{
"name": "alonso-skills/sql-ml-features",
"version": "0.1.1",
"description": "Use when preparing data for machine learning from SQL Server — feature engineering in T-SQL, building training/test datasets, statistical aggregations for ML pipelines, sampling strategies, data normalization and encoding in SQL, writing queries that feed pandas or scikit-learn, exporting to Parquet or CSV for model training, or when a data scientist asks for a 'feature table' or 'training set' from a SQL Server database.",
"private": false,
"skills": [
"SKILL.md"
]
}