Individual skill
preprocessing-data-with-automated-pipelines
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
bundled/skills/preprocessing-data-with-automated-pipelines/SKILL.md
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SKILL.mdcore · 1,493 bytesassets/README.mddoc · 309 bytesassets/example_data.csvasset · 1,381 bytesreferences/README.mddoc · 437 bytesscripts/README.mddoc · 426 bytesscripts/handle_errors.pyruns · 10,307 bytesscripts/pipeline.pyruns · 11,792 bytesscripts/transform_data.pyruns · 13,429 bytesscripts/validate_data.pyruns · 7,692 bytes
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# Data Preprocessing Pipeline
## Positioning
Use this skill as the direct owner for ML input-preparation pipelines.
It covers preprocessing-heavy tasks where the requested deliverable is a repeatable pipeline for cleaning, encoding, transforming, and validating input data.
## When to Use
Use this skill when:
- Prepare raw data for machine learning models.
- Automate data cleaning and transformation processes.
- Implement a robust ETL (Extract, Transform, Load) pipeline.
