Tutorials and examples
Tutorials and examples#
The following tutorials provide a hands-on introduction to using MLRun to implement a data science workflow and automate machine-learning operations (MLOps).
Make sure you start with the Quick start tutorial to understand the basics.
Click to view the tutorial
Each of the following tutorials is a dedicated Jupyter notebook. You can download them by clicking the
download icon at the top of each page.
You can find different end-to-end demos in MLRun demos repository at github.com/mlrun/demos.See also:
Running the demos in Open Source MLRun#
By default, these demos work with the online feature store, which is currently not part of the Open Source MLRun default deployment: