ML Notebooks for Applied Machine Learning
Working examples you can inspect, download, and adapt for real ML projects.
Working examples you can inspect and adapt
Open rendered notebooks, follow the workflow, and download runnable code for experiments, data pipelines, and applied research.
Notebook categories
Practical workflows organized by applied domain
Explore notebooks
Practical notes for everyday work around ML
Use practical notes for local setups, tools, development workflows, deployment, and production operations.
Docs categories
Improve and speed up daily workflows
Keep useful technical notes close
Why MLNotebooks
Applied ML work rarely starts from the model alone. It involves research, data, tools, and production systems. MLNotebooks keeps working examples and notes in one focused place, so you can start faster, revisit what matters, and keep sharpening your workflow.
Working examples
Inspect rendered notebooks, download runnable code, and adapt practical workflows.
Practical notes
Keep setup notes, tooling guides, and production workflow notes close.
Curated resources
Find selected courses, podcasts, tools, and references without extra noise.
Focused domains
Build around applied ML use cases and active research topics.