登录
首页 » Python » Python与机器学习实战

Python与机器学习实战

于 2019-05-13 发布
0 332
下载积分: 1 下载次数: 4

代码说明:

说明:  python与机器学习实战教程,机器学习通过Python语言实现,通过大量的实例再现机器学习强大的生命力(Python and Machine Learning Practical Course. Machine Learning is realized by Python Language, and the powerful vitality of machine learning is reappeared through a large number of examples.)

文件列表:

Python与机器学习实战\MachineLearning-master\.gitignore, 1184 , 2018-01-30
Python与机器学习实战\MachineLearning-master\a_FirstExample\README.md, 229 , 2018-01-30
Python与机器学习实战\MachineLearning-master\a_FirstExample\Regression.py, 1038 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Original\Basic.py, 3044 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Original\GaussianNB.py, 4093 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Original\MergedNB.py, 5625 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Original\MultinomialNB.py, 5690 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Original\__pycache__\Basic.cpython-36.pyc, 4538 , 2018-02-02
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\README.md, 1008 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Vectorized\Basic.py, 2985 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Vectorized\GaussianNB.py, 3117 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Vectorized\MergedNB.py, 4991 , 2018-01-30
Python与机器学习实战\MachineLearning-master\b_NaiveBayes\Vectorized\MultinomialNB.py, 4958 , 2018-01-30
Python与机器学习实战\MachineLearning-master\c_CvDTree\Cluster.py, 5614 , 2018-01-30
Python与机器学习实战\MachineLearning-master\c_CvDTree\Node.py, 11439 , 2018-01-30
Python与机器学习实战\MachineLearning-master\c_CvDTree\README.md, 1120 , 2018-01-30
Python与机器学习实战\MachineLearning-master\c_CvDTree\TestTree.py, 3207 , 2018-01-30
Python与机器学习实战\MachineLearning-master\c_CvDTree\Tree.py, 10574 , 2018-01-30
Python与机器学习实战\MachineLearning-master\d_Ensemble\AdaBoost.py, 4059 , 2018-01-30
Python与机器学习实战\MachineLearning-master\d_Ensemble\RandomForest.py, 3789 , 2018-01-30
Python与机器学习实战\MachineLearning-master\d_Ensemble\README.md, 729 , 2018-01-30
Python与机器学习实战\MachineLearning-master\d_Ensemble\TestEnsemble.py, 2578 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\KP.py, 3672 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\LinearSVM.py, 10163 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\Perceptron.py, 2187 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\README.md, 2350 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\SVM.py, 9669 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\TestLinear.py, 1262 , 2018-01-30
Python与机器学习实战\MachineLearning-master\e_SVM\TestSVM.py, 3267 , 2018-01-30
Python与机器学习实战\MachineLearning-master\f_NN\Layers.py, 6063 , 2018-01-30
Python与机器学习实战\MachineLearning-master\f_NN\Networks.py, 12872 , 2018-01-30
Python与机器学习实战\MachineLearning-master\f_NN\Optimizers.py, 3492 , 2018-01-30
Python与机器学习实战\MachineLearning-master\f_NN\README.md, 111 , 2018-01-30
Python与机器学习实战\MachineLearning-master\f_NN\Test.py, 662 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\CIFAR10.py, 1273 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\Layers.py, 14550 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\Mnist.py, 1369 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\Networks.py, 14976 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\Optimizers.py, 2409 , 2018-01-30
Python与机器学习实战\MachineLearning-master\g_CNN\README.md, 112 , 2018-01-30
Python与机器学习实战\MachineLearning-master\h_RNN\EmbedRNN.py, 3155 , 2018-01-30
Python与机器学习实战\MachineLearning-master\h_RNN\Mnist.py, 1758 , 2018-01-30
Python与机器学习实战\MachineLearning-master\h_RNN\Playground.py, 1682 , 2018-01-30
Python与机器学习实战\MachineLearning-master\h_RNN\RNN.py, 9396 , 2018-01-30
Python与机器学习实战\MachineLearning-master\h_RNN\SpRNN.py, 3727 , 2018-01-30
Python与机器学习实战\MachineLearning-master\i_Clustering\KMeans.py, 3024 , 2018-01-30
Python与机器学习实战\MachineLearning-master\i_Clustering\README.md, 735 , 2018-01-30
Python与机器学习实战\MachineLearning-master\LICENSE, 1057 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Basic\Layers.py, 30782 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Basic\Networks.py, 35826 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Basic\Optimizers.py, 4330 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Errors.py, 130 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\NN.py, 195 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\Auto\Layers.py, 12629 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\Auto\Networks.py, 29755 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\Basic\Layers.py, 15071 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\Basic\Networks.py, 31767 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\Optimizers.py, 4342 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\__Dev\Layers.py, 23239 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\__Dev\Networks.py, 33880 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\PyTorch\__Dev\Optimizers.py, 4344 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\README.md, 2544 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\Basic\Test.py, 1360 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\Basic\Vis.py, 862 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\Auto\Test.py, 1039 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\Auto\Vis.py, 869 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\Basic\Test.py, 998 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\Basic\Vis.py, 833 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\__Dev\.DS_Store, 6148 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\__Dev\Test.py, 1319 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\PyTorch\__Dev\Vis.py, 833 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\TF\CIFAR10.py, 2327 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\TF\Mnist.py, 1206 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\Test\TF\Tensorboard.py, 1789 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\TF\Layers.py, 15703 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\TF\Networks.py, 49450 , 2018-01-30
Python与机器学习实战\MachineLearning-master\NN\TF\Optimizers.py, 2339 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\NN\zh-cn\MLP.ipynb, 139095 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\NN\zh-cn\NN.ipynb, 52064 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\NN\zh-cn\Util.py, 1748 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\numba\zh-cn\Basic.ipynb, 11505 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\numba\zh-cn\CNN.ipynb, 8959 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\README.md, 87 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\SVM\zh-cn\Kernel Methods.ipynb, 196445 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\SVM\zh-cn\LinearSVM.ipynb, 420104 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\SVM\zh-cn\Perceptron.ipynb, 73282 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Notebooks\SVM\zh-cn\Util.py, 2517 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Opt\Functions.py, 2643 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Opt\Methods.py, 20665 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Opt\README.md, 332 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Opt\Test.py, 9188 , 2018-01-30
Python与机器学习实战\MachineLearning-master\README.md, 423 , 2018-01-30
Python与机器学习实战\MachineLearning-master\requirements.txt, 4694 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Cell.py, 863 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Generator.py, 545 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Test\Mnist.py, 2181 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Test\Operations.py, 10244 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Test\UnitTest.py, 6432 , 2018-01-30
Python与机器学习实战\MachineLearning-master\RNN\Wrapper.py, 9437 , 2018-01-30
Python与机器学习实战\MachineLearning-master\Util\Bases.py, 39048 , 2018-01-30

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • en.DM00024853
    Migration and compatibility guidelines for STM32 microcontroller applications
    2018-02-03 20:42:06下载
    积分:1
  • IntelAsmProgram4
    说明:  汇编书籍 从网上找的 比较全 有功夫了看看(Compilation of books from the Internet looking for more effort to look at the all-)
    2009-08-26 13:54:50下载
    积分:1
  • WIN32API
    win32编程中常用的API,对于学些WIN32编程非常有用(win32 programm API datasheet, it is very useful for developer of win32)
    2010-02-10 00:03:04下载
    积分:1
  • C-LANGUAGE
    C语言教程讲义(谭浩强).pdf初学者必须要看的讲义(C language tutorial notes (Tan Haojiang). PDF beginners must see notes )
    2014-09-23 15:12:59下载
    积分:1
  • Ballot
    This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained.
    2010-05-10 01:15:05下载
    积分:1
  • ANSYS-ACP
    ansys 用于分析纤维增强复合材料的专用模块ACP。非常好的内部培训资料。(ansys fiber reinforced composites for analysis of specific modules ACP. Very good internal training materials.)
    2016-05-11 13:23:21下载
    积分:1
  • 2379210752itti_attention
    经典的视觉显著性检测的论文,在网站可以找到对应的源码。很有参考价值(The classic visual detection of significant papers on the website can be found in the corresponding source code. Of great reference value)
    2010-01-19 21:48:16下载
    积分:1
  • 《Python网络数据采集》
    说明:  《Python网络数据采集》 第一部分 创建爬虫 第1章 初见网络爬虫 2 1.1 网络连接 2 1.2 BeautifulSoup简介 4 1.2.1 安装BeautifulSoup 5 1.2.2 运行BeautifulSoup 7 1.2.3 可靠的网络连接 8 第2章 复杂HTML解析 11 2.1 不是一直都要用锤子 11 2.2 再端一碗BeautifulSoup 12 2.2.1 BeautifulSoup的find()和findAll() 13 2.2.2 其他BeautifulSoup对象 15 2.2.3 导航树 16 ……(Python Network Data Acquisition)
    2019-05-07 11:58:38下载
    积分:1
  • Python与机器学习实战
    python与机器学习实战教程,机器学习通过Python语言实现,通过大量的实例再现机器学习强大的生命力(Python and Machine Learning Practical Course. Machine Learning is realized by Python Language, and the powerful vitality of machine learning is reappeared through a large number of examples.)
    2019-05-13 09:59:03下载
    积分:1
  • SPH_6_add-surface-tension
    使用sph方法求解NS方程,在此程序中考虑了表面张力的影响(this code solves N-S equation which uses SPH method,further more it consist of the surface tension part。)
    2013-04-06 10:47:21下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载