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Practice of MachineLearning(机器学习练习的一些代码托管)


here is a repository of scattered studies of "machine-learning".

for more info, welcome to my blog: Yuan's Homepage or Snoopy_Yuan的博客

List

  • code; ensemble learning experiment based on RF(Random Forest) and GBDT(Gradient Boosting Decision Tree) using sklearn.(python code here).
  • code; MNIST experiment based on CNN (Convolutional Neural Networks) using Theano.(python code here).
  • code; MNIST experiment based on MLP (Multilayer Perceptron) using Theano.(python code here).
  • code; implementation of standard BP algorithm.(python code here).
  • code; implementation practice of BP network based on PyBrain.(python code here)
  • note; parameter learning of Bayesian Network(BN).

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code of scattered practices when studying "machine-learning".

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