Maths for Data Science by DataTrained

Maths for Data Science by DataTrained

Maths for Data Science by DataTrained

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

Language: english

Note: 3.8/5 (287 notes) 19,401 students

Instructor(s): Ajay Nadia

Maths for Data Science by DataTrained

 

Description

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

Maths for Data Science by DataTrained

 

 

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