A step-by-step introduction to DVC by building a simple NLP project from scratch.
Learn how to install DVC and initialize a project.
Data and Model Versioning
Learn how to start versioning large files, ML models, datasets, etc. and share them with Git and DVC.
Accessing Data and Models
Learn how to reuse data from any DVC repository, from terminal or Python code.
Stages and Pipelines
Process data with a chain of stages, and reach reproducible results.
Params, Metrics, Plots
Use parameters in your pipelines and compare their results using metrics and plots
Use experimentation features of DVC 2.0 for quick iteration