登录
首页 » Python » Machine-Learning-master

Machine-Learning-master

于 2018-07-14 发布 文件大小:1383KB
0 185
下载积分: 1 下载次数: 2

代码说明:

  聚类算法,DBscan,决策树,逻辑回归,svm等机器学习python代码(DBscan python pythonpython Decision Tree Regression Trees)

文件列表:

Machine-Learning-master, 0 , 2018-06-24
Machine-Learning-master\AdaBoost, 0 , 2018-06-24
Machine-Learning-master\AdaBoost\ROC.py, 6004 , 2018-06-24
Machine-Learning-master\AdaBoost\adaboost.py, 5952 , 2018-06-24
Machine-Learning-master\AdaBoost\horseColicTest2.txt, 13547 , 2018-06-24
Machine-Learning-master\AdaBoost\horseColicTraining2.txt, 60479 , 2018-06-24
Machine-Learning-master\AdaBoost\horse_adaboost.py, 5726 , 2018-06-24
Machine-Learning-master\AdaBoost\sklearn_adaboost.py, 1320 , 2018-06-24
Machine-Learning-master\Decision Tree, 0 , 2018-06-24
Machine-Learning-master\Decision Tree\Decision Tree.py, 13198 , 2018-06-24
Machine-Learning-master\Decision Tree\Sklearn-Decision Tree.py, 2029 , 2018-06-24
Machine-Learning-master\Decision Tree\classifierStorage.txt, 91 , 2018-06-24
Machine-Learning-master\Decision Tree\lenses.txt, 771 , 2018-06-24
Machine-Learning-master\Logistic, 0 , 2018-06-24
Machine-Learning-master\Logistic\LogRegres-gj.py, 7971 , 2018-06-24
Machine-Learning-master\Logistic\LogRegres.py, 5340 , 2018-06-24
Machine-Learning-master\Logistic\colicLogRegres.py, 5271 , 2018-06-24
Machine-Learning-master\Logistic\horseColicTest.txt, 3722 , 2018-06-24
Machine-Learning-master\Logistic\horseColicTraining.txt, 60357 , 2018-06-24
Machine-Learning-master\Logistic\testSet.txt, 2087 , 2018-06-24
Machine-Learning-master\Naive Bayes, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\ClassList.txt, 131 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\10.txt, 6338 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\11.txt, 901 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\12.txt, 2762 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\13.txt, 1872 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\14.txt, 2162 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\15.txt, 754 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\16.txt, 725 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\17.txt, 7838 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\18.txt, 7528 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000008\19.txt, 736 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\10.txt, 442 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\11.txt, 875 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\12.txt, 1137 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\13.txt, 9827 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\14.txt, 1342 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\15.txt, 3481 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\16.txt, 1471 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\17.txt, 1527 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\18.txt, 376 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000010\19.txt, 3109 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\10.txt, 7714 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\11.txt, 7650 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\12.txt, 1529 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\13.txt, 968 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\14.txt, 1397 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\15.txt, 869 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\16.txt, 3901 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\17.txt, 2238 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\18.txt, 9253 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000013\19.txt, 2485 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\10.txt, 2296 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\11.txt, 3524 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\12.txt, 7667 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\13.txt, 3784 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\14.txt, 3356 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\15.txt, 3854 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\16.txt, 1763 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\17.txt, 2271 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\18.txt, 1378 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000014\19.txt, 3104 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\10.txt, 4007 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\11.txt, 537 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\12.txt, 9624 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\13.txt, 5202 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\14.txt, 1563 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\15.txt, 3688 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\16.txt, 5222 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\17.txt, 1248 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\18.txt, 3442 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000016\19.txt, 1345 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\10.txt, 4551 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\11.txt, 6978 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\12.txt, 3532 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\13.txt, 5512 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\14.txt, 2097 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\15.txt, 3105 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\16.txt, 6253 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\17.txt, 7341 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\18.txt, 12112 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000020\19.txt, 4220 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022, 0 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\10.txt, 698 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\11.txt, 522 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\12.txt, 3013 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\13.txt, 5014 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\14.txt, 1806 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\15.txt, 1913 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\16.txt, 4755 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\17.txt, 1806 , 2018-06-24
Machine-Learning-master\Naive Bayes\SogouC\Sample\C000022\18.txt, 1806 , 2018-06-24

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

  • pid控制仿真
    说明:  pid在matlab编程的实际运用,利用simulink编写程序(PID in the actual application of MATLAB programming, using Simulink to write the program)
    2020-08-13 09:45:15下载
    积分:1
  • Empire-Wargame-of-the-Century_DOS_EN
    Empire war game of the century for DOS. ADDICTIVE as crack.
    2019-04-08 04:32:25下载
    积分:1
  • 这是一个Prolog程序,是我的同学做的,对于学Prolog的朋友有些帮助,希望大家多多交流。...
    这是一个Prolog程序,是我的同学做的,对于学Prolog的朋友有些帮助,希望大家多多交流。-This is a Prolog program is to do my classmates and friends to learn Prolog some help, I hope a lot of U.S. exchanges.
    2022-03-06 21:16:42下载
    积分:1
  • de
    说明:  danish file for papers please
    2019-03-10 12:30:02下载
    积分:1
  • ga_tsp
    说明:  指定起始点和终点,用遗传算法解决旅行商问题。(Specify the starting point and ending point, and use genetic algorithm to solve the traveling salesman problem.)
    2020-12-26 14:57:57下载
    积分:1
  • ANSYS
    说明:  ANSYS单元的中文翻译,详细介绍了各单元的用途.(Chinese translation of ANSYS element, setting out in detail the use of the unit.)
    2008-08-27 10:38:50下载
    积分:1
  • DOS下的秒表程序,是个内存驻留程序
    DOS下的秒表程序,是个内存驻留程序-A MTERM program in DOS, simple terminal emulator
    2022-01-26 05:39:20下载
    积分:1
  • 停用词表扩展,里面有所有的常用的停用词,在信息检索时需要进行去高频词的操作,就需要停用词表,需要的下载...
    停用词表扩展,里面有所有的常用的停用词,在信息检索时需要进行去高频词的操作,就需要停用词表,需要的下载-Disable vocabulary expansion, which have all the common stop words, in the information retrieval to the high-frequency words when the need for the operation, you need to stop word table, need to download
    2022-01-31 01:54:38下载
    积分:1
  • 研究柯西变异
    主要是研究人工免疫网络算法的,其中改变了变异算子,改变后的变异算子为柯西变异,仅供大家参考(This paper mainly studies the artificial immune network algorithm, which changes the mutation operator, and the mutation operator is Cauchy mutation, for your reference only)
    2021-03-29 09:29:11下载
    积分:1
  • Finite volmue way to Couette(E)
    A solver with 1order up-wind style to 2D incompressible viscous Couette
    2019-06-16 09:49:13下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载