关于
The ML Pipeline Workflow skill provides a comprehensive framework for orchestrating production-grade machine learning lifecycles. It guides users through the critical stages of data ingestion, feature engineering, model training, and automated validation, ensuring that every step is reproducible and scalable. By implementing standardized patterns for DAG-based orchestration and experiment tracking, this skill helps developers bridge the gap between experimental notebooks and robust production systems using tools like Airflow, Kubeflow, and MLflow.
