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++
  5. GMM

• 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