machine learning
  • introduction
  • math basis
  • basic knowledge
  • model selection
  • feature engineering
  • supervised learning
    • linear regression
    • logistic regression
    • support vector machine
    • decision tree
    • random forest
    • GBDT
    • naive bayes
    • KNN
  • unsupervised learning
    • EM
    • EM with CM
    • K means
    • PCA
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math basis

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Last updated 5 years ago

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