Data Science
Basic Linear Algebra with SciPy
This course introduces participants to SciPy’s linear algebra capabilities, focusing on solving linear equations, understanding eigenvalues and eigenvectors, matrix decomposition, and working with sparse matrices. By the end of the course, learners will gain a practical understanding of applying linear algebra solutions effectively in Python.
MatPlotLib
Python
SciPy
4 lessons
15 practices
1 hour
Badge for Mathematics and Statistics,
Mathematics and Statistics
Course details
Vector Norm, Matrix Determinant, and Inverse Matrix with SciPy
Comparing Vector Magnitudes with Norms
Calculating L1 Norm in SciPy
Determinant for System Solvability
Calculate the Inverse of a Matrix
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