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Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning

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Dimensionality Reduction

List of templates focused on dimensionality reduction

A note on the notebook rendering

Each notebook has two versions (all python scripts are unaffected by this):

  • One where all the markdown comments are rendered in black& white. These are placed in the folder named GitHub_MD_rendering where MD stands for MarkDown.
  • One where all the markdown comments are rendered in coloured background.

Macro topics

  • Curse of dimensionality
  • ICA = Indipendent Component Analysis
  • NCA = Neighborhood Component Analysis
  • PCA = Principal Component Analysis
  • SVD = Singulat Value Decomposition

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Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning

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