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GitHub / jElhamm / Singular-Value-Decomposition-Data-Mining

"This repository hosts an implementation of the Singular Value Decomposition (SVD) algorithm tailored for data mining tasks. SVD is utilized for efficient dimensionality reduction, aiding in the extraction of key patterns and features from large and complex datasets."

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Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 156 KB
Dependencies: 0

Created: about 1 month ago
Updated: 25 days ago
Last pushed: 25 days ago
Last synced: 25 days ago

Topics: data-analysis, dimension-reduction, jyputer-notebook, machine-learning, matplotlib, numpy-library, pandas-library, preprocessing, python, scipy-library, singular-value-decomposition, sklearn-library, standardscaler, svd, svd-matrix-factorisation

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