databricks-ml-pipeline

Features and purpose

End-to-end machine learning pipelines on Databricks including data exploration, feature engineering, model training with hyperparameter optimization, MLflow experiment tracking, model registration to Unity Catalog, and deployment as DABs. Use when building ML workflows, training models, or deploying ML pipelines.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.