/databricks-mlflow-workshop

Databrick's workshop on end-to-end Machine Learning lifecycle using MLflow

Primary LanguagePython

Workshop on E2E Machine Learning Workflow using MLflow

A three-parts workshop on managing the complete Machine Learning lifecycle using MLflow, delivered by Databricks and available on YouTube [1]. The workshop covers end-to-end Machine Learning workflows using MLflow's components: Tracking, Projects, Models, and Model Registry.

References

[1] Databricks (2020). Managing the Complete Machine Learning Lifecycle with MLflow