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