Machine learning tutorials

Make sure you start with the Quick start tutorial to understand the basics

Introduction to MLRun - Use serverless functions to train and deploy models

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.

• Train, compare, and register models

• Serving pre-trained ML/DL models

• Projects and automated ML pipeline

• Realtime monitoring and drift detection

• Batch inference and drift detection

• Add MLOps to existing code

• MLflow tracker

• Feature store example (stocks)