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Title: GitHub - github16cp/lihang_book_algorithm: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍 · GitHub

Open Graph Title: GitHub - github16cp/lihang_book_algorithm: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍

X Title: GitHub - github16cp/lihang_book_algorithm: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍

Description: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍. Contribute to github16cp/lihang_book_algorithm development by creating an account on GitHub.

Open Graph Description: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍. Contribute to github16cp/lihang_book_algorithm development by creating an account on GitHub.

X Description: 致力于将李航博士《统计学习方法》一书中所有算法实现一遍. Contribute to github16cp/lihang_book_algorithm development by creating an account on GitHub.

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	https://github.com/github16cp/lihang_book_algorithm#简介
	https://github.com/github16cp/lihang_book_algorithm#章节
	https://github.com/github16cp/lihang_book_algorithm#第二章-感知器模型
李航《统计学习方法》第二章——用Python实现感知器模型（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/51923546
perceptron/binary_perceptron.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/perceptron/binary_perceptron.py
	https://github.com/github16cp/lihang_book_algorithm#第三章-k近邻法
李航《统计学习方法》第三章——用Python实现KNN算法（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/51933044
knn/knn.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/knn/knn.py
	https://github.com/github16cp/lihang_book_algorithm#第四章-朴素贝叶斯
李航《统计学习方法》第四章——用Python实现朴素贝叶斯分类器（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/51967839
naive_bayes/naive_bayes.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/naive_bayes/naive_bayes.py
	https://github.com/github16cp/lihang_book_algorithm#第五章-决策树
李航《统计学习方法》第五章——用Python实现决策树（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/52849400
decision_tree/decision_tree.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/decision_tree/decision_tree.py
	https://github.com/github16cp/lihang_book_algorithm#第六章-逻辑斯提回归
李航《统计学习方法》第六章——用Python实现逻辑斯谛回归（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/53084871
logistic_regression/logistic_regression.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/logistic_regression/logistic_regression.py
	https://github.com/github16cp/lihang_book_algorithm#第六章-最大熵模型
李航《统计学习方法》第六章——用Python实现最大熵模型（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/53106579
maxENT/maxENT.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/maxENT/maxENT.py
	https://github.com/github16cp/lihang_book_algorithm#第七章-支持向量机
李航《统计学习方法》第七章——用Python实现支持向量机模型（伪造数据集）	http://blog.csdn.net/wds2006sdo/article/details/53156589
svm/svm.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/svm/svm.py
	https://github.com/github16cp/lihang_book_algorithm#第八章-提升方法
李航《统计学习方法》第八章——用Python+Cpp实现AdaBoost算法（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/53195725
AdaBoost/adaboost.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/AdaBoost/adaboost.py
AdaBoost/adaboost_cpp.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/AdaBoost/adaboost_cpp.py
AdaBoost/Sign/Sign/sign.h	https://github.com/WenDesi/lihang_book_algorithm/blob/master/AdaBoost/Sign/Sign/sign.h
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	https://github.com/github16cp/lihang_book_algorithm#第十章-隐马尔科夫模型
李航《统计学习方法》第十章——用Python实现隐马尔科夫模型	http://blog.csdn.net/wds2006sdo/article/details/75212599
hmm/hmm.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/hmm/hmm.py
	https://github.com/github16cp/lihang_book_algorithm#额外章节
python 实现 softmax分类器（MNIST数据集）	http://blog.csdn.net/wds2006sdo/article/details/53699778
softmax/softmax.py	https://github.com/WenDesi/lihang_book_algorithm/blob/master/softmax/softmax.py
blog.csdn.net/wds2006sdo/article/category/6314784	http://blog.csdn.net/wds2006sdo/article/category/6314784
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