Toronto Machine Learning Workshop Materials for MLflow

This workshop has four modules. Each one is located in a separate directory with it respective README.md file and instructions how to follow the module.

Note: For modules 1-3, you'll need Databricks Community Edition. Please register for this before coming to class.

1. MLflow Tracking
2. MLFlow Projects
3. MLflow Models
4. Model Registry

Each module, except module 4, has Databricks Community Edition notebooks in its dbc format. For module 4 (Model Registry), we'll use local host using Jupyter Notebooks. Please follow instructions for module 4 to setup your local host. To get most out of this workshop, I advice you register for the Databricks Community Edition (DCE) before the workshop.

Thank you, and I hope you enjoy the flow!

Cheers,

Jules S. Damji