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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License: apache-2.0
Language: Jupyter Notebook
Size: 271 KB
Dependencies parsed at: Pending
Created at: 12 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 29 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