Learners should have a working knowledge of Python programming, including data structures, loops, functions, and libraries such as NumPy.
A grasp of core linear algebra concepts such as matrices, vectors, matrix operations, and basic transformations will aid in understanding the course content effectively.
$39.99
Material Includes
Video Lesson
Handout Notes
Python Codes
MCQs
What I will learn?
Learn how to leverage Python libraries like NumPy and SciPy to execute linear algebra operations efficiently and effectively within a programming environment.
Explore how linear algebra forms the backbone of various machine learning algorithms and data science techniques, enabling you to analyze data, build models, and make data-driven decisions.
Course Curriculum
Linear Algebra in Python: Video Lesson
Intuition Part 1
01:56:21
Hands-on Part 1
58:35
Hands-on Part 2
13:29
Linear Algebra in Python: Handout Notes
Getting started with Statistics in Python
Hands-on Implementation
Python Notebooks
Assessment
Self-Assessment
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