Linear Algebra for Data Science in Python: Get started with using linear algebra in your data science projects

365 Careers Ltd.

₹799 ~~₹2233.99~~

Video Jul 2019 56mins 1st Edition

365 Careers Ltd.

₹799 ~~₹2233.99~~

Video Jul 2019 56mins 1st Edition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Download Code

Key benefits

Learn linear algebra for data science and understand the essential concepts
Understand matrix, scalars, and vectors and learn how to use them

Description

Vectorizing your code is an essential skill to make your calculations faster and take advantage of the capabilities of modern machine and deep learning packages. This course will get you up and running with linear algebra fundamentals for data science in Python. In this course, you will learn about scalars, vectors, and matrices and the geometrical meaning of these objects. You will also learn how you should use linear algebra in your Python code. In addition to this, you’ll be able to perform operations such as addition, subtraction and dot product. As you cover further sections, you’ll focus on the different syntactical errors you can encounter while vectorizing your code. By the end of this course, you will have gained the skills you need to use linear algebra confidently in your data science projects. All code and supporting files for this course are available at - https://github.com/PacktPublishing/Linear-Algebra-for-Data-Science-in-Python