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07.03 Dimensionality Reduction exercise

Dimensionality reductionData manipulationPreprocessingPCAFeature importance
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Mar 13, 2025 8:07 PM
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07.02 Dimensionality Reduction - exercise

[L4-ML] Machine Learning Algorithms - Specialization

07 Data Cleaning Preparation
Apply the following dimensionality reduction techniques to the data:
- Filter out columns with a low variance
- Filter out one of two columns with a high linear correlation
- Replace numeric columns with principal components
- Filter out columns which are not important in predicting the target column

External resources

  • Description of the Ames Iowa Housing Data
  • Ames Housing Dataset on kaggle
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