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principal-component-analysis

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A hub that contains notebooks that implement Regression models, illustrates LR via Gradient Descent, compares K-means vs Spectral vs Hierarchical, compares PCA vs t-SNE

  • Updated Aug 28, 2021
  • Jupyter Notebook

This repository contains a Jupyter Notebook that implements PCA (Principal Component Analysis) from scratch for facial recognition. It demonstrates the steps involved in PCA, including eigenface computation and accuracy comparisons for different components.

  • Updated May 24, 2023
  • Jupyter Notebook

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