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Day5 Analytics - Cost Prediction with PyCaret

Machine learningPyCaretPythonIntegrated DeploymentCapture Workflow
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Jan 20, 2021 7:54 PM
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Demonstrates the building of a deployable machine learning model using KNIME Integrated Deployment and PyCaret. Compares results with a simple 'status quo' method. For more information please visit day5analytics.com. Note: Workflow requires a Python3 Anaconda Environment with PyCaret and PyArrow installed. User must set default Python3 environment in KNIME preferences.

External resources

  • Day5 Analytics
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.3
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.3

    knime
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    KNIME Integrated DeploymentTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.1

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.3

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.3.3

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.3

    knime

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