In this course, We will explain the essentials of Linear Algebra and everything that you need to understand the basics of linear algebra as well as explain Python from Scratch.

We will cover content such as:

1. Python 3 Basics to Advanced Level

2. Numpy Library and Pandas Library

3. Matrices and Linear System of Equations

4. Linear Regression with Python Numpy Library

5. Matrix Operations using Python Numpy Library

6. Gaussian Elimination

7. Reduced Echelon Form and RREF

8. Matrix Algebra

9. Special Matrices, Diagonal Matrices, and Inverse Matrices

10. Inverse Matrices and The Inverses of Transposed Matrices

11. Determinants and computing the Determinant 

12. Much more!

By the end of this course, you should very comfortable with Python, Linear algebra, and be able to follow throw any Math which uses the Linear Algebra notation in Machine learning algorithms.

You will also get answers to any questions that you might have for life.