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Title: GitHub - Deepbluezl/Statistical-Learning-Methods: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现 · GitHub

Open Graph Title: GitHub - Deepbluezl/Statistical-Learning-Methods: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

X Title: GitHub - Deepbluezl/Statistical-Learning-Methods: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现

Description: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现 - Deepbluezl/Statistical-Learning-Methods

Open Graph Description: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现 - Deepbluezl/Statistical-Learning-Methods

X Description: Implement Statistical Leanring Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现 - Deepbluezl/Statistical-Learning-Methods

Opengraph URL: https://github.com/Deepbluezl/Statistical-Learning-Methods

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85 Commits	https://github.com/Deepbluezl/Statistical-Learning-Methods/commits/master/
	https://github.com/Deepbluezl/Statistical-Learning-Methods/commits/master/
02.Perceptron	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/02.Perceptron
02.Perceptron	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/02.Perceptron
03.KNN	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/03.KNN
03.KNN	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/03.KNN
04.NaiveBayes	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/04.NaiveBayes
04.NaiveBayes	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/04.NaiveBayes
05.DecisionTree	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/05.DecisionTree
05.DecisionTree	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/05.DecisionTree
06.LogisticRegression-MaxEntropy	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/06.LogisticRegression-MaxEntropy
06.LogisticRegression-MaxEntropy	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/06.LogisticRegression-MaxEntropy
07.SVM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/07.SVM
07.SVM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/07.SVM
08.Boosting	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/08.Boosting
08.Boosting	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/08.Boosting
09.EM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/09.EM
09.EM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/09.EM
10.HMM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/10.HMM
10.HMM	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/10.HMM
11.ConditionalRandomField	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/11.ConditionalRandomField
11.ConditionalRandomField	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/11.ConditionalRandomField
14.Cluster	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/14.Cluster
14.Cluster	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/14.Cluster
15.SVD	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/15.SVD
15.SVD	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/15.SVD
16.PCA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/16.PCA
16.PCA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/16.PCA
17.LSA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/17.LSA
17.LSA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/17.LSA
18.PLSA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/18.PLSA
18.PLSA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/18.PLSA
19.MCMC	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/19.MCMC
19.MCMC	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/19.MCMC
20.LDA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/20.LDA
20.LDA	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/20.LDA
21.PageRank	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/21.PageRank
21.PageRank	https://github.com/Deepbluezl/Statistical-Learning-Methods/tree/master/21.PageRank
.gitignore	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/.gitignore
.gitignore	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/.gitignore
README.md	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/README.md
README.md	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/README.md
__init__.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/__init__.py
__init__.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/__init__.py
test_get_solution_domain.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_get_solution_domain.py
test_get_solution_domain.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_get_solution_domain.py
test_heap.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_heap.py
test_heap.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_heap.py
test_information_gain.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_information_gain.py
test_information_gain.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_information_gain.py
test_line_search.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_line_search.py
test_line_search.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/test_line_search.py
utils.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/utils.py
utils.py	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/utils.py
README	https://github.com/Deepbluezl/Statistical-Learning-Methods
	https://github.com/Deepbluezl/Statistical-Learning-Methods#statistical-learning-methods中文文档请往下翻
	https://github.com/Deepbluezl/Statistical-Learning-Methods#feature
	https://github.com/Deepbluezl/Statistical-Learning-Methods#dependencies
rich	https://github.com/willmcgugan/rich
	https://github.com/Deepbluezl/Statistical-Learning-Methods#usage
	https://github.com/Deepbluezl/Statistical-Learning-Methods#统计学习方法
	https://github.com/Deepbluezl/Statistical-Learning-Methods#项目特色
	https://github.com/Deepbluezl/Statistical-Learning-Methods#项目依赖
rich	https://github.com/willmcgugan/rich
	https://github.com/Deepbluezl/Statistical-Learning-Methods#如何使用
	https://github.com/Deepbluezl/Statistical-Learning-Methods#目录
第 2 章 - 感知机	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/02.Perceptron
感知机	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/02.Perceptron/perceptron.py
第 3 章 - k 近邻法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/03.KNN
k 近邻模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/03.KNN/knn.py
k 近邻模型 - 使用 KD 树实现	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/03.KNN/knn_kdtree.py
第 4 章 - 朴素贝叶斯法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/04.NaiveBayes
使用极大似然估计的朴素贝叶斯模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/04.NaiveBayes/NaiveBayesMLE.py
使用贝叶斯估计的朴素贝叶斯模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/04.NaiveBayes/NaiveBayesMAP.py
第 5 章 - 决策树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree
ID3 决策树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/ID3.py
C4.5 决策树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/C4.5.py
决策树剪枝算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/prune.py
分类 CART 决策树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/ClassificationCART.py
分类 CART 决策树剪枝算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/pruneClassificationCART.py
回归 CART 决策树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/05.DecisionTree/RegressionCART.py
第 6 章 - 逻辑斯谛回归与最大熵模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/06.LogisticRegression-MaxEntropy
逻辑斯谛回归模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/06.LogisticRegression-MaxEntropy/BinaryLogisticRegression.py
最大熵模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/06.LogisticRegression-MaxEntropy/MaxEntropy.py
第 7 章 - 支持向量机	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/07.SVM
支持向量机	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/07.SVM/SVM.py
第 8 章 - 提升方法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/08.Boosting
AdaBoost	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/08.Boosting/AdaBoost.py
梯度提升树	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/08.Boosting/GBDT.py
第 9 章 - EM 算法及其推广	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/09.EM
高斯混合模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/09.EM/GMM.py
第 10 章 - 隐马尔科夫模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM
前向算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM/Forward.py
后向算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM/Backward.py
维特比算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM/Viterbi.py
Baum-Welch 算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM/BaumWelch.py
使用 Baum-Welch 算法训练的隐马尔可夫模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/10.HMM/HMM.py
第 11 章 - 条件随机场	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/11.ConditionalRandomField
线性链条件随机场	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/11.ConditionalRandomField/LinearChainConditionalRandomField.py
第 14 章 - 聚类方法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/14.Cluster
层次聚类	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/14.Cluster/Agglomerative.py
k 均值聚类	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/14.Cluster/KMeans.py
第 15 章 - 奇异值分解	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/15.SVD
奇异值分解	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/15.SVD/SVD.py
第 16 章 - 主成分分析	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/16.PCA
主成分分析	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/16.PCA/PCA.py
第 17 章 - 潜在语义分析	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/17.LSA
潜在语义分析模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/17.LSA/LSA.py
第 18 章 - 概率潜在语义分析	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/18.PLSA
概率潜在语义分析模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/18.PLSA/PLSA.py
第 19 章 - 马尔可夫蒙特卡罗法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/19.MCMC
Metropolis-Hasting 算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/19.MCMC/MetropolisHasting.py
单分量的 Metropolis-Hasting 算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/19.MCMC/SingleComponentMetropolisHasting.py
吉布斯采样	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/19.MCMC/GibbsSampling.py
第 20 章 - 潜在狄利克雷分配	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/20.LDA
潜在狄利克雷分配模型	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/20.LDA/LDA.py
第 21 章 - PageRank 算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/21.PageRank
PageRank 算法	https://github.com/Deepbluezl/Statistical-Learning-Methods/blob/master/21.PageRank/PageRank.py
Readme	https://github.com/Deepbluezl/Statistical-Learning-Methods#readme-ov-file
Please reload this page	https://github.com/Deepbluezl/Statistical-Learning-Methods
Activity	https://github.com/Deepbluezl/Statistical-Learning-Methods/activity
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