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Notebook Work for Mathematics for Machine Learning Specialization By Imperial College London

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Mathematics for Machine Learning

This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses by Imperial College London:

Linear Algebra (link)

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

Multivariate Calculus (link)

  • The Sandpit
  • The Sandpit 2
  • Backpropagation
  • Gradient descent in a sandpit
  • Fitting the distribution of heights data

PCA (link)

  • Mean/Covariance of a data set and effect of linear transformation
  • Distances and Angles between Images along with KNN implementation
  • Orthogonal Projections
  • PCA

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Notebook Work for Mathematics for Machine Learning Specialization By Imperial College London

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