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