Azure databricks version instructions create a new azure databricks workspace from portal.azure.com launch the workspace create a new cluster ingest data (training data in ../data) import and run the ML.ipynb notebook in a databricks notebook/ workspace (optional) look at the experiment results in the MLflow tab click "use model for inference" from models tab and copy the code from "query endpoint" section create a new token (click on user settings and generate new token) and save it as DATABRICKS_TOKEN in your environment variables run python test_endpoint.py in your local python environment to test the endpoint, if you get a prediction as a response, you are good to go! run streamlit run dashboard.py to launch the dashboard Clean up delete the cluster and workspace from azure portal