Machine learning algorithms implemented by myself with Python 3.6

• 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

• Tagging

1. HMM

• Ohters

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

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

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