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