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Project: MachineLearning (GitHub Link)

• MachineLearning-master
  • HMM.py
  • Blending.py
  • preProcess.py
  • AssociationAnalysis.py
  • _config.yml
  • Cluster.py
  • examples
    • Logistic_TEST.py
    • HMM_TEST.py
    • NaiveBayes_TEST.py
    • PCA_TEST.py
    • DecisionTree_TEST.py
    • Perceptron_TEST.py
    • TreeRegression_TEST.py
    • AdaptiveBoost_TEST.py
    • Stacking_TEST.py
    • Blending_TEST.py
    • LinearRegression_TEST.py
    • KMeans_TEST.py
    • LDA_TEST.py
    • FP_growth_TEST.py
    • KNN_TEST.py
    • DBSCAN_TEST.py
    • Eclat_TEST.py
    • SVM_TEST.py
    • Apriori_TEST.py
    • RandomForest_TEST.py
  • Perceptron.py
  • SVM.py
  • dataset
    • dataset5
      • test.txt
      • train.txt
    • dataset7
    • dataset2
      • test.txt
      • train.txt
    • dataset4
      • test.txt
      • train.txt
    • dataset1
      • test.txt
      • train.txt
    • dataset3
      • test.txt
      • train.txt
  • LogisticRegression.py
  • LICENSE
  • AdaBoost.py
  • KNN.py
  • GradientBoostingDecisionTree.py
  • Stacking.py
  • DimensionReduction.py
  • DecisionTree.py
  • README.md
  • NaiveBayes.py
  • TreeRegression.py
  • Tree.py
  • LinearRegression.py
  • RandomForest.py

MachineLearning

Machine learning algorithms implemented by myself with Python 3.6

What's in it?

• Classification

  1. AdaBoost
  2. Blending
  3. DecisionTree
  4. GBDT
  5. KNN
  6. LogisticRegression
  7. NaiveBayes
  8. Perceptron
  9. RandomForest
  10. Stacking
  11. SVM

• Regression

  1. GBDT
  2. LinearRegression
  3. LocallyWeightedLinearRegression
  4. LassoRegression
  5. RandomForest
  6. RidgeRegression
  7. StepWiseRegression
  8. TreeRegression

• Cluster

  1. BiKmeans
  2. DBSCAN
  3. KMeans
  4. KMeans++

• Association Analysis

  1. Apriori
  2. Eclat
  3. FP-growth

• Dimensionality Reduction

  1. LDA
  2. PCA

• Others

  1. HMM

Tutorials

中文教程: 从零实现机器学习算法
English Turorials: Step-by-Step Guide To Implement Machine Learning

Main References

1. CS229:Machine Learning
2. Machine Learning IN ACTION
3. 统计学习方法

Dependences

1. Install Python 3.6
2. Install NumPy
3. Install Scikit-learn