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Machine Learning Algorithms in MATLAB:

This repository represents a library of modular general-purpose machine learning algorithms implemented in MATLAB, as well as example/test cases in the 'asmt' files showing their usage.

Algorithms covered include:

• Linear regression using gradient descent
• Least-squares linear system solver
• Logistic regression for binary classification
• Nearest-neighbour (and nearest-K neighbor) for 1D data; binary classifier variant as well
• Neural Networks trained via backpropagation:
  • early-stop variant
  • binary classification / log-likelihood maximizaton variant
  • vanilla variant
  • application note: incidence matrix set up makes architecture easy to change for user