dagshub-docs/docs/tutorials/index.md

Tutorials

There are many ways to learn about DagsHub. If you want to learn one of the topics below, we've created an end to end tutorial to get you from start to finish. If you're not sure which one to choose, we recommend doing our Hello World Which covers most of the basics easily.

• :material-eye:{.lg .middle}  Hello World Vision

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  A step-by-step computer vision tutorial, zero local setup needed.

• :material-robot-happy-outline:{.lg .middle}  Hello World LLM

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  A step-by-step LLM tutorial, covering RAG, prompt engineering, model selection & fine-tuning and evaluation.

• :material-table:{.lg .middle}  Hello World Tabular

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  A step-by-step introduction to DagsHub based on the Enron Ham/Spam classification dataset.

• :dagshub-data-pipelines:{.lg .middle}  Build Data Pipelines

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  Build and manage reproducible data pipelines

• :material-database-export-outline:{.lg .middle}  Build Custom Dataloader

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  Build custom dataloaders to stream data from DagsHub

• :material-text-recognition:{.lg .middle}  Text Classification Tutorial

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  Learn how to classify text from stackoverflow while versioning data files and tracking experiments

• :material-numeric-0-box:{.lg .middle}  MNIST Pipeline Tutorial

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  Learn how to build complex DVC pipelines while working with the MNIST handwritten digit detection dataset.