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Linear Algebra for Data Science in Python

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Linear Algebra for Data Science in Python Free Download

More Information
Learn
  • Learn about Matrix
  • Scalars and Vectors
  • Addition and Subtraction of Matrix
  • Errors when Adding Matrices
  • Why is Linear Algebra Useful?
About This is a straightforward course to learn Linear Algebra Fundamentals for Data Science in Python. Vectorizing your code is an essential skill to make your calculations faster and take advantage of the full capabilities of modern machine and deep learning packages. In this course, you will learn about scalars, vectors, and matrices. You will see how and why to use linear algebra in your Python code and the geometrical meaning of these objects. Addition, subtraction and dot product are only some of the operations you will be able to perform. We will also look into the different syntactical errors you can encounter while vectorizing your code to make sure you have acquired the skills to use linear algebra in your data science projects.

All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Linear-Algebra-for-Data-Science-in-Python

Features
  • Learn Linear Algebra for Data Science and understand the concepts
  • Understand Matrix, Scalars, and Vectors and learn how to use it
Course Length 0 hours 56 minutes

 

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DownloadPackt – Linear Algebra for Data Science in Python Free Download Free

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Author: Ho Quang Dai

I am Ho Quang Dai, from Vietnam – A country that loves peace. I share completely free courses from major academic websites around the world. Hope to bring free knowledge to everyone who can’t afford to buy


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