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ML Pipeline Automation

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Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins

skills/ml-pipeline-automation/SKILL.md

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# ML Pipeline Automation

ML pipeline automation orchestrates the entire machine learning workflow from data ingestion through model deployment, ensuring reproducibility, scalability, and reliability.

## Pipeline Components

- **Data Ingestion**: Collecting data from multiple sources
- **Data Processing**: Cleaning, transformation, feature engineering
- **Model Training**: Training and hyperparameter tuning
- **Validation**: Cross-validation and testing
- **Deployment**: Moving models to production
- **Monitoring**: Tracking performance metrics

## Orchestration Platforms
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