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 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.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.0
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