04_​Data_​Preprocessing_​for_​ML_​Models1

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Data Preprocessing for ML Models

This workflow demonstrates the following standard preprocessing steps before training a machine learning model:
- Partitioning
- Outlier detection
- Missing value handling
- Dimensionality reduction
- Conversion
- Feature selection

URL: House Prices Dataset https://www.kaggle.com/marcopale/housing

Nodes

• Component Input65 ×
• Component Output65 ×
• Column Filter50 ×
• Column Rename48 ×
• Constant Value Column43 ×
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Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Deep Learning - Keras Integration
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME H2O Machine Learning Integration
• FeatureKNIME Integrated Deployment
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Links

• Denormalizer

  forum.knime.com/p/244798