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Categories Data Science

Linear Algebra in Python

  • 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.
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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

Hands-on Implementation

Assessment

Testimonials

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Material Includes

  • Video Lesson
  • Handout Notes
  • Python Codes
  • MCQs

Requirements

  • 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.

Who Should Take this course?

  • Beginners in Data Science

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