Tutorials: Get started with ML

The notebooks in this section are designed to get you started quickly with machine learning on Databricks. You can import each notebook to your Databricks workspace to run them.

These notebooks illustrate how to use Databricks throughout the machine learning lifecycle, including data loading and preparation; model training, tuning, and inference; and model deployment and management. They also demonstrate helpful tools such as Hyperopt for automated hyperparameter tuning, MLflow tracking and autologging for model development, and Model Registry for model management.