We can think of GitHub Workspace for Jupyter Notebook an environment for Notebooks where in a single click an environment will be spun up for the Data Scientist allowing them to run the notebook without them having to install any dependencies.
Targeted Customer Journey:
Customer opens a ML application in "GitHub workspace for Jupyter" which creates a fork
He can run the notebook without having to install any dependencies.
Makes changes to the notebook and data pipeline as needed and iterate
Executed the model and plot metrics.
Saves the updated model to forked branch.
We can think of GitHub Workspace for Jupyter Notebook an environment for Notebooks where in a single click an environment will be spun up for the Data Scientist allowing them to run the notebook without them having to install any dependencies.
Targeted Customer Journey: Customer opens a ML application in "GitHub workspace for Jupyter" which creates a fork He can run the notebook without having to install any dependencies. Makes changes to the notebook and data pipeline as needed and iterate Executed the model and plot metrics. Saves the updated model to forked branch.