This repository contains materials and notes related to Mathematics for Machine Learning, including topics such as Linear Algebra, Calculus, Probability & Statistics, and Neural Networks. It is a work in progress and will be expanded with additional lab
- 01 - NumPy Arrays and Linear Systems as Matrices
- 02 - Numpy_linalg sub-library
- 03 - Gaussian Elimination
- 04 - Scalar Multiplication, Sum and Dot Product of Vectors
- 05 - Matrix Multiplication and Linear Transformations
- 06 - Single Perceptron Neural Networks for Linear Regression
- 07 - Interpreting eigenvalues and eigenvectors
- 08 - Application of Eigenvalues and Eigenvectors Webpage navigation model and PCA

