Kedro is an open-source Python framework for building reproducible, scalable, and modular data science and machine learning pipelines.

Features of Kedro:

Provides a standardized project structure for data science and ML workflows.
Supports modular and reusable pipeline development.
Seamlessly integrates with various ML frameworks and cloud platforms.
Ensures reproducibility through version-controlled data catalogs.
Encourages software engineering best practices like testing and CI/CD integration.

To check KEDRO version:

$ cd /opt

$ source kedro-env/bin/activate

$ pip show kedro

Disclaimer: Kedro helps structure machine learning and data science projects efficiently, but improper implementation or lack of version control may lead to inconsistencies. It is recommended to follow best practices, document pipeline changes, and maintain reproducibility for optimal results.

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