RapidMiner Notebooks

    Available as part of the AI Hub

    Inspire collaboration between coders and non-coders to enhance productivity and streamline governance.​

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    Write code in a managed notebook environment

    • Leverage a state of the art, ready-to-use JupyterLab environment as an integral part of the RapidMiner AI Hub
    • Utilize the limitless capabilities of Python and its accompanying open source libraries to explore your data and build advanced machine learning models
    • Jumpstart projects with pre-built notebook kernels for data scientists, or customize your own
    • Access your work from anywhere with no impact on your local machine through a portable and highly scalable environment
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    Collaborate across disciplines

    • Team up with domain experts using RapidMiner projects: a workflow designed to execute automated, visual, and code-based paradigms in unison
    • Drive agile and iterative development of use cases across teams with fine-grained version control based on standard git
    • Enrich the work of your peers by adding Python snippets to existing models and workflows

    Enhance everyone’s productivity

    • Provide coders with easy access and re-use of connections, data, workflows, code and models that are curated by domain experts
    • Allow non-coding team members to easily reuse code created by their colleagues
    • Drive immediate business impact by rapidly deploying code-based models into production as a web service
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    Govern and manage more effectively

    • Governed, but flexible code environments for collaboration across the enterprise
    • Streamline AI governance by standardizing production in a central, scalable environment that’s accessible to anyone
    • Simplify auditing with a complete view of lineage, change history and model explanations

    Learn more about RapidMiner Notebooks

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    RapidMiner Platform Brochure

    Read our platform brochure to learn more about how RapidMiner unifies the entire data science lifecycle from data prep, to machine learning and model operations.

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