Diptadip/coursera-mathematics-for-ml

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

Coursera - Machine Learning for Mathematics

This repository contains the code for all the programming tasks of the Machine Learning for Mathematics courses taught at Coursera:

Linear Algebra (link)

• Identifying Special Matrices
• Gram-Schmidt Process
• Reflecting Bear
• PageRank

Multivariate Calculus (link)

• Backpropagation
• Fitting the distribution of heights data

PCA (link)

• Mean/Covariance of a data set and effect of linear transformation
• Distances and Angles between Images
• Orthogonal Projections
• Principal Component Analysis (PCA)