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A guide to Regression

RegressionPythonMachine LearningSVMLinear Regression
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Dec 10, 2021 4:22 PM
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This workflow is the Knime implementation of the codes in the article "A Complete Guide To Regressional Analysis Using Python by Brandon Morgan". To fully understand the workflow, it is recommended that to go through the article (link below) and run each part of the workflow whilst reading the blogpost. Note: Before running the workflow, you need to prepare the Anaconda (Python) environment. To this end, download the following file and run the below command in the anaconda environment.

External resources

  • Environment
  • Complete Guide to Regressional Analysis Using Python
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME PlotlyTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
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    KNIME Statistics NodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime

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