https://github.com/nmsby/pca-machine-learning-lab
Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
https://github.com/nmsby/pca-machine-learning-lab
data-analysis dimensionality-reduction jupyter-notebook machine-learning numpy pca python scikit-learn visualization
Last synced: 7 months ago
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Principal Component Analysis (PCA) implementation and analysis lab for Machine Learning. Features manual PCA implementation, scikit-learn applications, data compression, and feature extraction with detailed visualizations.
- Host: GitHub
- URL: https://github.com/nmsby/pca-machine-learning-lab
- Owner: NMsby
- License: mit
- Created: 2025-06-02T09:46:17.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-06-04T07:08:53.000Z (8 months ago)
- Last Synced: 2025-06-04T13:57:48.146Z (8 months ago)
- Topics: data-analysis, dimensionality-reduction, jupyter-notebook, machine-learning, numpy, pca, python, scikit-learn, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 6.27 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE