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Eigenvalues, Eigenvectors, and Diagonalization with NumPy

This course introduces students to eigenvalues, eigenvectors, and matrix diagonalization. Focusing on matrix transformations, students will explore practical applications of these concepts using the `numpy.linalg` library to solidify their understanding of advanced linear algebra principles.

Numpy

Python

See path

5 lessons

25 practices

3 hours

Mathematics and Statistics

Course details

Introduction to Eigenvalues and Eigenvectors with NumPy

Preview

Eigenvalues and Eigenvectors in NumPy

Explore Matrix Changes Impact

Fix the Matrix Calculation Errors

Calculate Eigenvalues and Eigenvectors

Write Your First NumPy Matrix Code

Previous Course

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