GitHub - Savinda/LinearAlgebra: My exercises of - Discover the Mathematical Language of Data in Python - Basics of Linear Algebra for Machine Learning by Jason Brownlee

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.DS_Store		.DS_Store
10. Types of Matrices.ipynb		10. Types of Matrices.ipynb
11. Matrix Operations.ipynb		11. Matrix Operations.ipynb
12. Sparse Matrices.ipynb		12. Sparse Matrices.ipynb
13. Tensors and Tensor Arithmetic.ipynb		13. Tensors and Tensor Arithmetic.ipynb
14. Matrix Decompositions.ipynb		14. Matrix Decompositions.ipynb
15. Eigendecomposition.ipynb		15. Eigendecomposition.ipynb
16. Singular Value Decomposition.ipynb		16. Singular Value Decomposition.ipynb
17. Introduction to Multivariate Statistics.ipynb		17. Introduction to Multivariate Statistics.ipynb
18. Principal Component Analysis.ipynb		18. Principal Component Analysis.ipynb
19. Linear Regression.ipynb		19. Linear Regression.ipynb
4. Introduction to NumPy Arrays.ipynb		4. Introduction to NumPy Arrays.ipynb
5. Index, Slice and Reshape NumPy Arrays.ipynb		5. Index, Slice and Reshape NumPy Arrays.ipynb
6. NumPy Array Broadcasting.ipynb		6. NumPy Array Broadcasting.ipynb
7. Vectors and Vector Arithmetic.ipynb		7. Vectors and Vector Arithmetic.ipynb
8. Vector Norms.ipynb		8. Vector Norms.ipynb
9. Matrices and Matrix Arithmetic.ipynb		9. Matrices and Matrix Arithmetic.ipynb
ex17.csv		ex17.csv