This repository aims to undertake a comprehensive exploration of key linear algebra concepts, laying the groundwork for a nuanced understanding of various machine learning algorithms. The focus will encompass the following essential topics:

1. Norm:

2. Vector Decomposition:

3. Linear Transformations and Matrices:

4. Elementary Matrix Operations and Systems of Linear Equations:

5. Determinant:

6. Diagonalizations (Eigenvalues and Eigenvectors):