05_​Feature_​Selection_​exercise

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Feature Selection - exercise

Introduction to Machine Learning Algorithms course - Session 4
Exercise 5
- Combine previously splitted train and test set
- Search for the most important columns for classification using a feature selection loop

URL: Ames Housing Dataset on kaggle https://www.kaggle.com/prevek18/ames-housing-dataset
URL: Description of the Ames Iowa Housing Data https://rdrr.io/cran/AmesHousing/man/ames_raw.html
URL: Seven Techniques for Data Dimensionality Reduction https://www.knime.com/blog/seven-techniques-for-data-dimensionality-reduction
URL: Slides (Introduction to ML Algorithms course) https://www.knime.com/form/material-download-registration

Nodes

• Rule Engine5 ×
• Missing Value4 ×
• Missing Value (Apply)4 ×
• Normalizer4 ×
• Rule-based Row Filter4 ×
• Show all 24 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Distance Matrix
• FeatureKNIME Javasnippet
• FeatureKNIME Statistics Nodes

Links

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