Overview: Explore the application of key mathematical topics related to linear algebra with the Python programming language.

Expected Duration: After completion of this course, you should be able to accomplish the objectives from the following lessons and topics.

1. Lessons on Math for Data Science & Machine Learning:

2. Understand how to work with vectors in Python

3. Basis and Projection of Vectors: Understand the Basis and Projection of Vectors in Python

4. Work with Matrices: Understand how to work with matrices in Python

5. Matrix Multiplication: Understand how to multiply matrices in Python

6. Matrix Division: Understand how to divide matrices in Python

7. Linear Transformations: Understand how to work with linear transformations in Python

8. Gaussian Elimination: Understand how to apply Gaussian Elimination

9. Determinants: Understand how to work with determinants in Python

10. Orthogonal Matrices: Understand how to work with orthogonal matrices in Python

11. Eigenvalues: Recognize how to obtain eigenvalues from eight decompositions in Python

12. Eigenvectors: Recognize how to obtain eigenvectors from eigendecomposition in Python

13. PseudoInverse: Recognize how to obtain pseudoinverse in Python