This course introduces linear algebra concepts using NumPy, focusing on practical applications. It reinforces key topics like vectors, matrices, and systems of equations, with hands-on exercises to help you apply linear algebra in data science and machine learning.
Overview
Syllabus
- Course 1: Fundamentals of Vectors and Matrices with NumPy
- Course 2: Vector and Matrix Operations with NumPy
- Course 3: Eigenvalues, Eigenvectors, and Diagonalization with NumPy