Maths for Data Science by DataTrained
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Price: 799$
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 Python3. Basis and Projection of Vectors: Understand the Basis and Projection of Vectors in Python4. Work with Matrices: Understand how to work with matrices in Python5. Matrix Multiplication: Understand how to multiply matrices in Python6. Matrix Division: Understand how to divide matrices in Python7. Linear Transformations: Understand how to work with linear transformations in Python8. Gaussian Elimination: Understand how to apply Gaussian Elimination9. Determinants: Understand how to work with determinants in Python10. Orthogonal Matrices: Understand how to work with orthogonal matrices in Python11. Eigenvalues: Recognize how to obtain eigenvalues from eight decompositions in Python12. Eigenvectors: Recognize how to obtain eigenvectors from eigendecomposition in Python13. Pseudo Inverse: Recognize how to obtain pseudoinverse in Python
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