Regression - House Prices - Advanced Techniques including H2O.ai and Vtreat
Score Kaggle House Prices: Advanced Regression Techniques - prepare data with vtreat - use H2O.ai nodes and other models - measure results with RMSE<br /><br />https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview
URL: vtreat for KNIME! https://win-vector.com/2020/06/28/vtreat-for-knime/
URL: H2O.ai AutoML (wrapped with Python) with vtreat data preparation in KNIME for regression problems https://hub.knime.com/-/spaces/-/latest/~QCQZSo2ffXuw5CdZ/
URL: H2O.ai AutoML in KNIME for regression problems https://forum.knime.com/t/h2o-ai-automl-in-knime-for-regression-problems/20924?u=mlauber71
URL: Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package https://medium.com/p/efcaf58fa783
Nodes
- Constant Value Column23 ×
- H2O Regression Scorer23 ×
- Table to H2O20 ×
- Model Reader16 ×
- Model Writer16 ×
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Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Column Expressions (legacy)
- FeatureKNIME Conda Integration
- FeatureKNIME Ensemble Learning Wrappers
- FeatureKNIME Excel Support
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Links
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