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