# Linear Algebra for Data Science & Machine learning in Python

Linear Algebra for Data Science & Machine learning in Python free download paid course from google drive. You will learn Concepts of Linear Algebra and Implement using Python 3, Hands on Numpy, Pandas for Data Science & Linear Algebra in this complete course.

• Complete Understanding of Python from Scratch
• NumPy Array, NumPy Operations
• Pandasn and Numpy for Data Analysis
• DataFrames, Pandas Series, Pandas Matrix
• Learn Numpy and Pandas Library
• Understand The Basics of Linear Algebra And Have A Solid Foundation In Linear Algebra
• Understand how to use Python to do linear algebra operations

### Linear Algebra for Data Science & Machine learning in Python Course Requirements

• Basic High School Math

Linear Algebra for Data Science & Machine learning in Python Course 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:

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.

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