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.
Overview
Syllabus
- Lesson 1: Vector Norm, Matrix Determinant, and Inverse Matrix with SciPy
- Lesson 2: Solving Linear Equation Systems with SciPy
- Lesson 3: Eigenvalues and Eigenvectors with SciPy
- Lesson 4: Matrix Decomposition with SciPy
