This channel provides a good review on Linear Algebra
Vectors | Chapter 1, Essence of linear algebra
Linear combinations, span, and basis vectors | Chapter 2, Essence of linear algebra
Linear transformations and matrices | Chapter 3, Essence of linear algebra
Matrix multiplication as composition | Chapter 4, Essence of linear algebra
Three-dimensional linear transformations | Chapter 5, Essence of linear algebra
The determinant | Chapter 6, Essence of linear algebra
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
Nonsquare matrices as transformations between dimensions | Chapter 8, Essence of linear algebra
Dot products and duality | Chapter 9, Essence of linear algebra
Cross products | Chapter 10, Essence of linear algebra
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
Change of basis | Chapter 13, Essence of linear algebra
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra
Abstract vector spaces | Chapter 16, Essence of linear algebra