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ExpiredLinear Algebra for Data Science & Machine learning in Python
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199.99
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Requirements
- Basic High School Math
Description
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.
Who this course is for:
- Computer Science Students Who Want To Learn More Linear Algebra
- Students Who Want To Learn The Linear Algebra For Machine Learning and Deep Learning
- Anyone Who Is Interested In Math And Wants To Study Linear Algebra
- Data scientists who want to review their linear algebra
- Anyone Who wants to learn Python for Data Science
