文件名称:machine_learning_python-master
介绍说明--下载内容来自于网络,使用问题请自行百度
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)
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)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| 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 |
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