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
Reduced Echelon Form and RREF
Special Matrices, Diagonal Matrices, and Inverse Matrices
Inverse Matrices and The Inverses of Transposed Matrices
Determinants and computing the Determinant
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.
Courses : 1
Specification: Linear Algebra for Data Science & Machine learning in Python
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