Debugging Machine Learning Models with Python

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Versioning and Reproducible Machine Learning Modeling

Reproducibility is an important topic to help machine learning developers go back to different stages of the machine learning life cycle and identify opportunities for model improvement. Having access to different versions of the data and models generated through the machine learning life cycles could help us in improving the reproducibility of our projects.

In this chapter, you will learn about the meaning and importance of reproducibility in machine learning modeling. You will learn about tools for incorporating data versioning in machine learning pipelines to help you attain more effective collaboration in your projects and achieve reproducibility in your models. You will also learn ...