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Run Jupyter in KNIME

Jupyter and KNIME Decision Tree Classification Jupyter Integration Onboarding Data Science
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This Workflow showcases how the Jupyter Notebooks can be integrated in KNIME. The Jupyter Notebook is responsible for feature transformation. The Reading Data and Pre-processing block is responsible for loading the data and performing the preprocessing using Python Script Node. The Python Script Node loads the Jupyter Notebook. The Jupyter Notebook Path block can be used to provide the location of the Jupyter Notebook. The rest of the blocks are responsible for Training and evaluating the Decision Tree.

External resources

  • Jupyter and KNIME

Used extensions & nodes

Created with KNIME Analytics Platform version 4.2.3
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.0

    knime
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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.1

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.2.3

    knime
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