This repository accumulates tutorials/use cases of using Prefect in an ML project.
| Title | Article | Repository | Video |
|---|---|---|---|
| How to Structure an ML Project for Reproducibility and Maintainability | 🔗 | 🔗 | |
| Orchestrate Your Data Science Project with Prefect 2.0 | 🔗 | 🔗 | 🔗 |
| Detect Defects in a Data Pipeline Early with Validation and Notifications | 🔗 | 🔗 | 🔗 |
| Create Robust Data Pipelines with Prefect, Docker, and GitHub | 🔗 | 🔗 | |
| Create a Maintainable Data Pipeline with Prefect and DVC | 🔗 | 🔗 | |
| Create Observable and Reproducible Notebooks with Hex | 🔗 | 🔗 | 🔗 |
| Build a Full-Stack ML Application With Pydantic And Prefect | 🔗 | 🔗 | 🔗 |
View a full playlist on Prefect here.