kyaiooiayk / Dimensionality-Reduction-Notes

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

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