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 - Jupyter Notebook