Free
CourseLinear Algebra
Learn about linear algebra and how to perform operations with matrices and vectors.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary2 hoursProjects
1Prerequisites
None
About this course
In this unit, we will learn about the fundamentals of linear algebra, including how to perform mathematical operations using matrices and vectors. After learning how to do these operations mathematically, we will implement them in Python using NumPy arrays. To cap off the course, we will apply our knowledge in a project on image transformations.
Syllabus
Linear Algebra
Learn about the fundamentals of linear algebra!
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Frequently asked questions about Linear Algebra
Linear algebra involves studying coordinates on a map or model of various factors and using them to calculate things. While it plays a big role in machine learning, it’s used in many different fields of programming.
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Related resources
- Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
NumPy Matrix Multiplication: A Beginner's Guide
Learn how to perform matrix multiplication in NumPy using dot(), matmul(), and multiply() functions. A beginner-friendly guide with examples. - Article
Joining Arrays in NumPy for Beginners
Learn how to join NumPy arrays using functions like np.concatenate(), np.stack(), np.hstack(), np.vstack(), and np.dstack(). A beginner-friendly guide with examples.
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