santanu2908/linear-algebra-essentials
A beginner-friendly collection of Jupyter notebooks covering the essentials of linear algebra with clear NumPy code and visualizations. Topics include vectors, basis, transformations, dot product, determinants, eigenvalues/eigenvectors, matrix inverse, rank, and cross product—ideal for students and self-learners.
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Jupyter Notebook
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MIT
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Mar 22, 2026
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