Description
Linear Algebra for Data Science and 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 contains 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 discussed this What is Linear Algebra and Why do we need Linear Algebra
- We will then move on to Getting Started with Python, where you will learn all about how to set up a Python environment so that the hands-on experience will be easier for you.
Then we come to the essence of this course.
- Vectors and operations on vectors
- Matrices and operations on matrices
- Determinants and inverses
- Solving systems 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 will find Python code demos and solved problems aside from theoretical concepts of linear algebra. You will also learn how to use Python’s numpy library, which contains many functions for matrix calculations and solving linear algebra problems.
What you will learn in the Linear Algebra for Data Science and 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 and implementing systems of linear equations in Python
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Matrix Factorization and Implementation in Python
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Calculating 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 those who
- Anyone curious to know how linear algebra is used in machine learning
- Anyone who wants to understand the math and linear algebra behind data science
- Anyone who wants to build a basic foundation for deploying machine learning techniques
Linear Algebra for Data Science and Machine Learning in Python Course Specifications
- Publisher: Udemy
- Lecturer: Syed Mohiuddin
- Training level: Beginner to advanced
- Training duration: 9 hours and 51 minutes
- No. of courses: 150
course title
Course Prerequisites
- You should be familiar with the basics of mathematics
- All the implementations of Linear Algebra concepts are in Python, so being familiar with Python will be an added advantage
Course Images
Sample video of the course
installation Guide
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Subtitles: none
Quality: 720p
download link
File Password: www.downloadly.ir
size
1.5GB