Linear Algebra for Data Science in Python

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Linear Algebra for Data Science in Python download free packt

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Linear Algebra for Data Science in Python

LearnLearn about MatrixScalars and VectorsAddition and Subtraction of MatrixErrors when Adding MatricesWhy is Linear Algebra Useful?
AboutThis 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
FeaturesLearn Linear Algebra for Data Science and understand the conceptsUnderstand Matrix, Scalars, and Vectors and learn how to use it
Course Length0 hours 56 minutes

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About the Author: Kim Lee

I am Kim Lee, I want to help students and professionals who can not buy paid course. I hope to receive the donation from readers. Once again sincerely thank you. I would recommend buying the original course once you can afford to buy and help the course creator.

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