Course Wiki

Getting started with MLflow — MLOps Zoomcamp Module 2

MLOps Zoomcamp › Module 2: Experiment Tracking & Model Management › Getting started with MLflow

Notes

Note: in the videos, Cristian uses Jupyter in VS code and runs everything locally

But if you set up a VM in the previous module, you can keep using it and use the usual Jupyter from your browser. There’s no significant difference between using Jupyter with VS code and without

Key concepts

• MLflow
• Jupyter Notebooks

Related notes

• mlops-m01-homework
• mlops-m01-optional-training-a-ride-duration-prediction-mod
• mlops-m02-experiment-tracking-intro
• mlops-m02-experiment-tracking-with-mlflow
• mlops-m02-homework
• mlops-m02-mlflow-benefits-limitations-and-alternatives
• mlops-m02-mlflow-in-practice
• mlops-m02-model-management
• mlops-m02-model-registry
• mlops-m03-homework
• mlops-m03-turning-the-notebook-into-a-python-script
• mlops-m03-using-an-orchestrator
• mlops-m04-mlops-zoomcamp-4-6-batch-scoring-with-mage
• mlops-m04-web-services-getting-the-models-from-the-model-r
• mlops-m07-course-project

Sources

• Video
• Lesson file