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An implementation of some classical machine learning algorithms

This is a Python library implementing some classical machine learning algorithms from scratch using numpy, which was done in Machine Learning Course at HCMUT.

List of algorithms:

  • Linear Regression
  • Logistic Regression
  • Softmax Regression
  • Support Vector Machine (SVM)
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • ID3 Decision Tree
  • Hidden Markov Model (HMM)

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pylearn_ml191: An implementation of some classical machine learning algorithm

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