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ML-notebooks

This repo contains several implementations of basic ML algorithms in pure NumPy, compared with counterpart implementations from widely used libraries. The implemented algorithms include

  • Logistic regression
  • Linear regression
  • SVM
  • KNN, PCA
  • backpropagation, RMS, Adam optimizer.

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A compilation of my reimplementations of various ML algorithms, used as teaching materials at UET.

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