ml-data-engineering
CommunityStreamline ML data pipelines end-to-end.
Authorgeorge11642
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ML teams struggle to coordinate data ingestion, validation, feature engineering, and deployment across evolving pipelines, leading to reproducibility gaps and slower experimentation.
Core Features & Use Cases
- Data ingestion, ETL, feature engineering, validation, and schema checks
- Vector databases, RAG patterns, embeddings storage, and retrieval pipelines
- Experiment tracking, model deployment pipelines, and MLops governance
Quick Start
Orchestrate end-to-end ML data workflows from ingestion to deployment.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-data-engineering Download link: https://github.com/george11642/george-plugins/archive/main.zip#ml-data-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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