This workflow snippet uses the Iris dataset and builds a pairplot visualization and Random Forest model using the Python nodes available on KNIME. The pairplot is built using the Python View node in conjunction with the Seaborn library to show pairwise relationships in the Iris dataset. The Random Forest model is built using both the Python Learner and Python Predictor nodes together with the Scikit-learn library.
Workflow
EDA and Model Building using Python Nodes
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.2
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
- Go to item
Legal
By using or downloading the workflow, you agree to our terms and conditions.