Description
Linear Algebra for Data Science & Machine Learning in Python course. A course on linear algebra for data science and machine learning in Python. This course will help you understand linear algebra and the mathematics behind data science and machine learning. Linear algebra is a fundamental part of data science and machine learning. This course includes lessons related to each topic of linear algebra + code or implementation of linear algebra concepts or topics. There are thousands of topics in this course. To start the course:
- We have a discussion about What is linear algebra and why do we need linear algebra
- Then we’ll move on to Getting Started with Python, where you’ll learn all about how to set up a Python environment so that hands-on experience is easy for you.
Then we come to the essence of this course.
- Vectors and operations on vectors
- Matrices and operations on matrices
- Determinant and inverse
- Solving the system of linear equations
- Norms and basis vectors
- Linear independence
- Matrix factorization
- being orthogonal
- Eigenvalues and eigenvectors
- Singular Value Decomposition (SVD)
Again, in each of these sections you’ll find Python code demos and solved problems separate from the theoretical concepts of linear algebra. You will also learn how to use Python’s numpy library, which contains several functions for matrix calculations and solving linear algebra problems.
What you will learn in the Linear Algebra for Data Science & Machine Learning in Python course
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Application of vectors and matrices with implementation in Python
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Operations of vectors and matrices with implementation in Python
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Solving the system of linear equations and implementation in Python
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Matrix factorization and implementation in Python
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Calculation of eigenvalues, eigenvectors
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Single value parsing by running it in Python
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Eigen Decomposition by implementing them in Python
This course is suitable for people who
- Anyone curious about how linear algebra is used in machine learning
- Anyone who wants to understand the mathematics and linear algebra behind data science
- Anyone who wants to build a basic foundation for deploying machine learning techniques
Linear Algebra for Data Science & Machine Learning in Python course specifications
- Publisher: Udemy
- teacher: Syed Mohiuddin
- Training level: beginner to advanced
- Training duration: 9 hours and 51 minutes
- Number of courses: 150
Course headings
Course prerequisites
- You should have familiarity with fundamentals of Maths
- All the implementation of Linear Algebra concepts are in Python, so familiarity with Python will be an added advantage
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.5 GB
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