practical linear algebra for data science (with python)
          python          linear-algebra          vectors          singular-value-decomposition          matrics          eigendecomposition          matrix-inverse          matrix-application          vector-application          orthogonal-matrices-and-qr-decomposition          row-reduction-and-lu-decomposition          general-line-models-and-least-squares          least-squares-applications          eigendecomposition-and-svd-application      
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            Updated
            Mar 24, 2024 
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