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RapidMiner Notebooks

Available as part of the AI Hub

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

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

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

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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