Machine learning tutorials

Each of these MLRun tutorials is a dedicated Jupyter notebook, illustrating different capabilities of MLRun. You can download them by clicking the download icon at the top of each page.

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

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

• Quick start tutorial for machine learning

• Train, compare, and register models

• Serving pre-trained ML/DL models

• Projects and automated ML pipeline

• Model monitoring tutorial

• Batch inference and drift detection

• Add MLOps to existing code

• MLflow tracker

• Feature store example (stocks)