MachineLearning,encrypted algorith like RSA/DES/AES and so on.

鉴于github加载ipython notebook很慢，建议用http://nbviewer.jupyter.org/ 打开

周志华的西瓜书只写了一部分编程题，从第1章到第9章课后习题中的编程题基本有，还差第7章最后一道题EM算法，以及第4章辛辛苦苦写的决策树被自己误删了，以后有空再写吧。

第10章之后的内容有点看不下去，就没怎么写了，后面如果有写的话再更新。欠的代码包括：10.1 10.6 11.1

没看的章节包括：12计算学习理论 13半监督学习 15规则学习

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MachineLearning,encrypted algorith like RSA/DES/AES and so on.

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Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
04-04-决策树代码实现(上课版) -checkpoint.ipynb		04-04-决策树代码实现(上课版) -checkpoint.ipynb
04-04-决策树代码实现(答案版)-checkpoint.ipynb		04-04-决策树代码实现(答案版)-checkpoint.ipynb
04-04-决策树代码实现(练习版)-checkpoint.ipynb		04-04-决策树代码实现(练习版)-checkpoint.ipynb
04-10-Sklearn实现决策树(上课版)-checkpoint.ipynb		04-10-Sklearn实现决策树(上课版)-checkpoint.ipynb
04-10-Sklearn实现决策树(答案版)-checkpoint.ipynb		04-10-Sklearn实现决策树(答案版)-checkpoint.ipynb
04-10-Sklearn实现决策树(练习版)-checkpoint.ipynb		04-10-Sklearn实现决策树(练习版)-checkpoint.ipynb
04-11-案例：使用决策树进行个人信用风险评估(上课版)-checkpoint.ipynb		04-11-案例：使用决策树进行个人信用风险评估(上课版)-checkpoint.ipynb
04-11-案例：使用决策树进行个人信用风险评估(答案版)-checkpoint.ipynb		04-11-案例：使用决策树进行个人信用风险评估(答案版)-checkpoint.ipynb
06-13-1SVM代码实现之简易版(上课版)-checkpoint.ipynb		06-13-1SVM代码实现之简易版(上课版)-checkpoint.ipynb
06-13-1SVM代码实现之简易版(答案版)-checkpoint.ipynb		06-13-1SVM代码实现之简易版(答案版)-checkpoint.ipynb
06-13-1SVM代码实现之简易版(练习版)-checkpoint.ipynb		06-13-1SVM代码实现之简易版(练习版)-checkpoint.ipynb
06-13-2SVM代码实现之改进版(答案版)-checkpoint.ipynb		06-13-2SVM代码实现之改进版(答案版)-checkpoint.ipynb
06-13-3SVM代码实现之核函数版(答案版)-checkpoint.ipynb		06-13-3SVM代码实现之核函数版(答案版)-checkpoint.ipynb
06-16-Sklearn实现SVM1(答案版)-checkpoint.ipynb		06-16-Sklearn实现SVM1(答案版)-checkpoint.ipynb
06-16-Sklearn实现SVM2，输出常用属性值(答案版)-checkpoint.ipynb		06-16-Sklearn实现SVM2，输出常用属性值(答案版)-checkpoint.ipynb
06-16-Sklearn实现SVM3，使用高斯核(答案版)-checkpoint.ipynb		06-16-Sklearn实现SVM3，使用高斯核(答案版)-checkpoint.ipynb
06-17-案例：使用SVM完成人脸识别-checkpoint.ipynb		06-17-案例：使用SVM完成人脸识别-checkpoint.ipynb
09-05-Bagging与随机森林及其代码实现(答案版)-checkpoint.ipynb		09-05-Bagging与随机森林及其代码实现(答案版)-checkpoint.ipynb
09-08-AdaBoost代码实现本(上课版)-checkpoint.ipynb		09-08-AdaBoost代码实现本(上课版)-checkpoint.ipynb
09-16-Stacking 代码实现(上课版)-checkpoint.ipynb		09-16-Stacking 代码实现(上课版)-checkpoint.ipynb
09-16-Stacking 代码实现(答案版)-checkpoint.ipynb		09-16-Stacking 代码实现(答案版)-checkpoint.ipynb
09-16-Stacking 代码实现(练习版)-checkpoint.ipynb		09-16-Stacking 代码实现(练习版)-checkpoint.ipynb
As2__Classification.ipynb		As2__Classification.ipynb
Assignment_3 K-means clustering++.ipynb		Assignment_3 K-means clustering++.ipynb
BayesNet.py		BayesNet.py
DES加密 sage-checkpoint.ipynb		DES加密 sage-checkpoint.ipynb
PCA降维并画图-checkpoint.ipynb		PCA降维并画图-checkpoint.ipynb
README.md		README.md
SVM实现初步分类-checkpoint.ipynb		SVM实现初步分类-checkpoint.ipynb
Stacking对金线莲百分百学习-checkpoint.ipynb		Stacking对金线莲百分百学习-checkpoint.ipynb
UNtitle-checkpoint.ipynb		UNtitle-checkpoint.ipynb
Untitled-checkpoint.ipynb		Untitled-checkpoint.ipynb
Untitled1-checkpoint.ipynb		Untitled1-checkpoint.ipynb
Untitled2-checkpoint.ipynb		Untitled2-checkpoint.ipynb
Untitled4-checkpoint.ipynb		Untitled4-checkpoint.ipynb
_Assignment1_1 correlation.ipynb		_Assignment1_1 correlation.ipynb
bp.py		bp.py
ch10_1_knn.ipynb		ch10_1_knn.ipynb
ch3_3_logistic_regression.ipynb		ch3_3_logistic_regression.ipynb
ch3_4_comparing_error_rate.ipynb		ch3_4_comparing_error_rate.ipynb
ch3_5_linear_discriminant_analysis.ipynb		ch3_5_linear_discriminant_analysis.ipynb
ch4_3_ID3_decision_tree.ipynb		ch4_3_ID3_decision_tree.ipynb
ch4_4_Gini_decision_tree_prune.ipynb		ch4_4_Gini_decision_tree_prune.ipynb
ch4_5_logistic_regression_tree.ipynb		ch4_5_logistic_regression_tree.ipynb
ch5_5_BP_algorithm.ipynb		ch5_5_BP_algorithm.ipynb
ch5_6_improved_BP_algorithm.ipynb		ch5_6_improved_BP_algorithm.ipynb
ch5_7_RBF_net.ipynb		ch5_7_RBF_net.ipynb
ch6_2_and_ch6_8.ipynb		ch6_2_and_ch6_8.ipynb
ch7_3_laplacian_bayes.ipynb		ch7_3_laplacian_bayes.ipynb
ch7_6_AODE.ipynb		ch7_6_AODE.ipynb
ch7_9_BIC_bayesNet.ipynb		ch7_9_BIC_bayesNet.ipynb
ch8_3_AdaBoost.ipynb		ch8_3_AdaBoost.ipynb
ch8_5_Bagging.ipynb		ch8_5_Bagging.ipynb
ch9_4_k_means.ipynb		ch9_4_k_means.ipynb
k折交叉数据-checkpoint.ipynb		k折交叉数据-checkpoint.ipynb
security tech 1-checkpoint.ipynb		security tech 1-checkpoint.ipynb
初始版本病毒传播小世界-checkpoint.ipynb		初始版本病毒传播小世界-checkpoint.ipynb
卷积计算并画图-checkpoint.ipynb		卷积计算并画图-checkpoint.ipynb
基于Python的复杂网络病毒传播动力学及其可视化（树状网络、小世界、随机网络）-checkpoint.ipynb		基于Python的复杂网络病毒传播动力学及其可视化（树状网络、小世界、随机网络）-checkpoint.ipynb
复杂网络课设绘制感染情况图变量五个：总人数传染率治愈率初始感染者时间-checkpoint.ipynb		复杂网络课设绘制感染情况图变量五个：总人数传染率治愈率初始感染者时间-checkpoint.ipynb
复杂网络：含有n个节点、每个节点有k个邻居、以概率p随机化重连边的WS小世界网络。-checkpoint.ipynb		复杂网络：含有n个节点、每个节点有k个邻居、以概率p随机化重连边的WS小世界网络。-checkpoint.ipynb
安全技术DES第五周tutorial round keys generation-checkpoint.ipynb		安全技术DES第五周tutorial round keys generation-checkpoint.ipynb
安全技术tutorial 质数的因式分解-checkpoint.ipynb		安全技术tutorial 质数的因式分解-checkpoint.ipynb
安全技术公钥加密RSA第九周tutroail-checkpoint.ipynb		安全技术公钥加密RSA第九周tutroail-checkpoint.ipynb
安全技术第10周tutorial ECC椭圆曲线加密-checkpoint.ipynb		安全技术第10周tutorial ECC椭圆曲线加密-checkpoint.ipynb
安全技术第11周tutorial HMAC数字签名和证书生成-checkpoint.ipynb		安全技术第11周tutorial HMAC数字签名和证书生成-checkpoint.ipynb
安全技术第3周tutorial 游乐场加密playfair-checkpoint.ipynb		安全技术第3周tutorial 游乐场加密playfair-checkpoint.ipynb
安全技术第三次作业 AES生成秘钥 RSA综合-checkpoint.ipynb		安全技术第三次作业 AES生成秘钥 RSA综合-checkpoint.ipynb
安全技术第二周tutorial 单字符对应加密Mono-alphabetic cipher-checkpoint.ipynb		安全技术第二周tutorial 单字符对应加密Mono-alphabetic cipher-checkpoint.ipynb
安全技术第二次作业DES块加密把字符串转HEX16进制-checkpoint.ipynb		安全技术第二次作业DES块加密把字符串转HEX16进制-checkpoint.ipynb
安全技术第二次作业把字符串转16进制后进行DES加密,形成每个固定32位的块，利用已有函数一一对应解密-checkpoint.ipynb		安全技术第二次作业把字符串转16进制后进行DES加密,形成每个固定32位的块，利用已有函数一一对应解密-checkpoint.ipynb
数据接口问题：无法读出ARRAY数组-checkpoint.ipynb		数据接口问题：无法读出ARRAY数组-checkpoint.ipynb
新复杂网络-checkpoint.ipynb		新复杂网络-checkpoint.ipynb
暴力求解维吉尼亚加密算法-checkpoint.ipynb		暴力求解维吉尼亚加密算法-checkpoint.ipynb
游乐场加密算法PLAYFAIR 中文注释版-checkpoint.ipynb		游乐场加密算法PLAYFAIR 中文注释版-checkpoint.ipynb
第七周安全技术AES加解密tutorial-checkpoint.ipynb		第七周安全技术AES加解密tutorial-checkpoint.ipynb
考虑潜伏期传染性的 SEIR 改进模型-checkpoint.ipynb		考虑潜伏期传染性的 SEIR 改进模型-checkpoint.ipynb
融合了治愈率的复杂网络问题在于变量不统一会震荡-checkpoint.ipynb		融合了治愈率的复杂网络问题在于变量不统一会震荡-checkpoint.ipynb
读取EXCEL中的数据-checkpoint.ipynb		读取EXCEL中的数据-checkpoint.ipynb
读取EXCEL中的数据，一行一个数组-checkpoint.ipynb		读取EXCEL中的数据，一行一个数组-checkpoint.ipynb
读取TXT数据并写出一个新TXT-checkpoint.ipynb		读取TXT数据并写出一个新TXT-checkpoint.ipynb
输入参数和暴力破解 ECC椭圆曲线加密比特币y^2=x^3+7 mod p-checkpoint.ipynb		输入参数和暴力破解 ECC椭圆曲线加密比特币y^2=x^3+7 mod p-checkpoint.ipynb
输出SVM分类概率结果-checkpoint.ipynb		输出SVM分类概率结果-checkpoint.ipynb

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MachineLearning,encrypted algorith like RSA/DES/AES and so on.

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