A quick way to start exploratory data analysis is to use the EDA notebook that is created when you use Databricks AutoML. Then you can use the notebook generated as is, or as a starting point for modeling. You’ll need a cluster with Databricks Runtim...
You can use this code for a GET call from the cluster API Docs and look at the response field "state" to see the status. You will want to swap out the domain for your workspace's domain and the cluster ID of the cluster you are monitoring.curl --netr...
One option is using Github for version control. You can link a notebook and Databricks syncs your history with Git- which gives you the option to restore an older version if needed. Here are the docs for more details: https://docs.databricks.com/not...