感知机 KNN 决策树 以及逻辑回归等算法 手动搭建 machine_learning_python-master

代码说明：

说明：  通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。感知机的基本形式和对偶形式的实现 Kmeans和Kmeans++的实现 EM GMM高斯混合和GMM+LASSO的实现 实现朴素贝叶斯的基本算法和高斯混合朴素贝叶斯算法 实现决策树的基本算法 实现adaboost基本算法 实现svm基本算法 实现逻辑回归基本算法(By reading the data codes on the Internet, we can process ourselves and try to realize the commonly used machine learning algorithm The realization of basic form and dual form of perceptron Implementation of kmeans and kmeans + + EM GMM Gaussian mixture and GMM + lasso implementation The basic algorithm of implementing naive Bayes and Gaussian mixture naive Bayes algorithm The basic algorithm of realizing decision tree Implementation of AdaBoost basic algorithm Implement the basic algorithm of SVM Implement the basic algorithm of logical regression)

文件列表：

machine_learning_python-master, 0 , 2019-02-19
machine_learning_python-master\.gitattributes, 33 , 2019-02-19
machine_learning_python-master\.gitignore, 29 , 2019-02-19
machine_learning_python-master\README.md, 1273 , 2019-02-19
machine_learning_python-master\adaboost, 0 , 2019-02-19
machine_learning_python-master\adaboost\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\adaboost\.ipynb_checkpoints\Adaboost-checkpoint.ipynb, 13020 , 2019-02-19
machine_learning_python-master\adaboost\AdaBoost.py, 5331 , 2019-02-19
machine_learning_python-master\adaboost\Adaboost.ipynb, 13020 , 2019-02-19
machine_learning_python-master\adaboost\README.md, 821 , 2019-02-19
machine_learning_python-master\decision_tree, 0 , 2019-02-19
machine_learning_python-master\decision_tree\README.md, 189 , 2019-02-19
machine_learning_python-master\decision_tree\tree_id3.py, 8136 , 2019-02-19
machine_learning_python-master\em, 0 , 2019-02-19
machine_learning_python-master\em\README.md, 638 , 2019-02-19
machine_learning_python-master\em\data, 0 , 2019-02-19
machine_learning_python-master\em\data\amix1-est.dat, 4147 , 2019-02-19
machine_learning_python-master\em\data\amix1-tst.dat, 13766 , 2019-02-19
machine_learning_python-master\em\data\amix1-val.dat, 2067 , 2019-02-19
machine_learning_python-master\em\data\amix2-est.dat, 1475168 , 2019-02-19
machine_learning_python-master\em\data\amix2-tst.dat, 3687484 , 2019-02-19
machine_learning_python-master\em\data\amix2-val.dat, 737762 , 2019-02-19
machine_learning_python-master\em\data\golub-est.dat, 296542 , 2019-02-19
machine_learning_python-master\em\data\golub-tst.dat, 126412 , 2019-02-19
machine_learning_python-master\em\data\golub-val.dat, 111296 , 2019-02-19
machine_learning_python-master\em\gmm.py, 3120 , 2019-02-19
machine_learning_python-master\em\gmm_penality.py, 3904 , 2019-02-19
machine_learning_python-master\em\main.py, 1702 , 2019-02-19
machine_learning_python-master\em\main_panelity.py, 2964 , 2019-02-19
machine_learning_python-master\kmeans, 0 , 2019-02-19
machine_learning_python-master\kmeans\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\kmeans\.ipynb_checkpoints\kmeans-checkpoint.ipynb, 157686 , 2019-02-19
machine_learning_python-master\kmeans\README.md, 443 , 2019-02-19
machine_learning_python-master\kmeans\kmeans.ipynb, 222351 , 2019-02-19
machine_learning_python-master\kmeans\kmeans_base.py, 5077 , 2019-02-19
machine_learning_python-master\kmeans\kmeans_plus.py, 4076 , 2019-02-19
machine_learning_python-master\knn, 0 , 2019-02-19
machine_learning_python-master\knn\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\knn\.ipynb_checkpoints\KNN-checkpoint.ipynb, 3823 , 2019-02-19
machine_learning_python-master\knn\KNN.ipynb, 17474 , 2019-02-19
machine_learning_python-master\knn\README.md, 187 , 2019-02-19
machine_learning_python-master\knn\knn_base.py, 1789 , 2019-02-19
machine_learning_python-master\knn\knn_kdtree.py, 5215 , 2019-02-19
machine_learning_python-master\logistic_regression, 0 , 2019-02-19
machine_learning_python-master\logistic_regression\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\logistic_regression\.ipynb_checkpoints\logistic_regression-checkpoint.ipynb, 36351 , 2019-02-19
machine_learning_python-master\logistic_regression\LogisticRegressionClassifier.py, 2088 , 2019-02-19
machine_learning_python-master\logistic_regression\README.md, 199 , 2019-02-19
machine_learning_python-master\logistic_regression\logistic_regression.ipynb, 36351 , 2019-02-19
machine_learning_python-master\logistic_regression\max_entropy.py, 4454 , 2019-02-19
machine_learning_python-master\naive_bayes, 0 , 2019-02-19
machine_learning_python-master\naive_bayes\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\naive_bayes\.ipynb_checkpoints\naiveBayes-checkpoint.ipynb, 5676 , 2019-02-19
machine_learning_python-master\naive_bayes\README.md, 236 , 2019-02-19
machine_learning_python-master\naive_bayes\naiveBayes.ipynb, 4296 , 2019-02-19
machine_learning_python-master\naive_bayes\naiveBayesBase.py, 3900 , 2019-02-19
machine_learning_python-master\naive_bayes\naiveBayesGaussian.py, 1966 , 2019-02-19
machine_learning_python-master\perceptron, 0 , 2019-02-19
machine_learning_python-master\perceptron\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\perceptron\.ipynb_checkpoints\perceptron-checkpoint.ipynb, 23126 , 2019-02-19
machine_learning_python-master\perceptron\README.md, 202 , 2019-02-19
machine_learning_python-master\perceptron\perceptron.ipynb, 23126 , 2019-02-19
machine_learning_python-master\perceptron\perceptron_base.py, 1436 , 2019-02-19
machine_learning_python-master\perceptron\perceptron_dual.py, 2136 , 2019-02-19
machine_learning_python-master\support_vector_machine, 0 , 2019-02-19
machine_learning_python-master\support_vector_machine\.ipynb_checkpoints, 0 , 2019-02-19
machine_learning_python-master\support_vector_machine\.ipynb_checkpoints\svm-checkpoint.ipynb, 13598 , 2019-02-19
machine_learning_python-master\support_vector_machine\README.md, 691 , 2019-02-19
machine_learning_python-master\support_vector_machine\svm.ipynb, 13598 , 2019-02-19
machine_learning_python-master\support_vector_machine\svm.py, 5341 , 2019-02-19
machine_learning_python-master\utils, 0 , 2019-02-19
machine_learning_python-master\utils\data_generater.py, 1312 , 2019-02-19
machine_learning_python-master\utils\misc_utils.py, 1289 , 2019-02-19
machine_learning_python-master\utils\plot.py, 1611 , 2019-02-19
machine_learning_python-master\utils\word_utils.py, 2164 , 2019-02-19