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NCA-ADS - Data Science Pipelines and Workflow Automation - Section 3.5

Build reproducible pipelines.

Build reproducible data science pipelines by fixing random seeds, pinning library versions, and logging all transformation parameters. Understand why reproducibility requires controlling both code and environment, not only random state.

More in this domain

Design end-to-end data science pipelines.Section 3.1
Apply feature engineering and feature selection.Section 3.2
Mitigate underfitting and overfitting.Section 3.3
Automate and scale workflows with RAPIDS and Dask.Section 3.4

Back to all Data Science Pipelines and Workflow Automation objectives, or the NCA-ADS cert hub.

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