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This is a showcase on how PCA is used for dimensionality reduction. Putting aside non-essential dimensions, especially for the case of big datasets, helps programmers and data scientists to work with data in a more efficient way.
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15
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added Eigen-vectors-eigen-values.ipynb to showcase PCA on one image
b8388caView on GitHubAdded a jupyter notebook, explaining every step taken
175931bView on GitHub