Linear Algebra for Data Science in Python
Course Features
Duration
50 minutes
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
50 minutes
Course Description
Course Overview
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Learn linear algebra for data science and understand the essential concepts
Understand matrix, scalars, and vectors and learn how to use them
Course Content
Module 1: Chapter 1 : Linear Algebra
1. What is matrix
2. Scalars and vectors
3. Linear algebra and geometry
4. Arrays in Python
5. What is a tensor
6. Adding and subtracting matrices
7. Errors when adding matrices
8. Transpose
9. Dot product of vectors
10. Dot product of matrices
11. Why are matrices useful?
Course Instructors
365 Careers
Instructor
Course Reviews
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