Linear Algebra for Data Science & Machine learning in Python
- 3.9
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Brief Introduction
Learn Concepts of Linear Algebra and Implement using Python 3, Hands on Numpy, Pandas for Data Science & Linear AlgebraDescription
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:
Python 3 Basics to Advanced Level
Numpy Library and Pandas Library
Matrices and Linear System of Equations
Linear Regression with Python Numpy Library
Matrix Operations using Python Numpy Library
Gaussian Elimination
Reduced Echelon Form and RREF
Matrix Algebra
Special Matrices, Diagonal Matrices, and Inverse Matrices
Inverse Matrices and The Inverses of Transposed Matrices
Determinants and computing the Determinant
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.
Requirements
- Requirements
- Basic High School Math
El Farouk Yasser
3.9 Raiting
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