登录
首页 » Python » MachineLearning-master

MachineLearning-master

于 2020-09-26 发布
0 215
下载积分: 1 下载次数: 1

代码说明:

说明:  机器学习实践.是根据机器学习实践这本书籍所配套代码。适用于初学者(the test of machine learning.the __init__.py file)

文件列表:

MachineLearning-master, 0 , 2017-10-02
MachineLearning-master\chapter05, 0 , 2017-10-02
MachineLearning-master\chapter05\__init__.py, 0 , 2017-10-02
__MACOSX, 0 , 2018-06-26
__MACOSX\MachineLearning-master, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter05, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter05\.___init__.py, 212 , 2017-10-02
MachineLearning-master\chapter05\pythonlib_load.py, 281 , 2017-10-02
__MACOSX\MachineLearning-master\chapter05\._pythonlib_load.py, 212 , 2017-10-02
MachineLearning-master\chapter05\numpy_load.py, 186 , 2017-10-02
__MACOSX\MachineLearning-master\chapter05\._numpy_load.py, 212 , 2017-10-02
MachineLearning-master\chapter05\pima_data.csv, 23279 , 2017-10-02
__MACOSX\MachineLearning-master\chapter05\._pima_data.csv, 212 , 2017-10-02
MachineLearning-master\chapter05\pandas_load.py, 222 , 2017-10-02
__MACOSX\MachineLearning-master\chapter05\._pandas_load.py, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._chapter05, 212 , 2017-10-02
MachineLearning-master\chapter02, 0 , 2017-10-02
MachineLearning-master\chapter02\__init__.py, 0 , 2017-10-02
__MACOSX\MachineLearning-master\chapter02, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter02\.___init__.py, 212 , 2017-10-02
MachineLearning-master\chapter02\confirm_scipy.py, 246 , 2017-10-02
__MACOSX\MachineLearning-master\chapter02\._confirm_scipy.py, 212 , 2017-10-02
MachineLearning-master\chapter02\confirm_scikit.py, 62 , 2017-10-02
__MACOSX\MachineLearning-master\chapter02\._confirm_scikit.py, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._chapter02, 212 , 2017-10-02
MachineLearning-master\appendix, 0 , 2017-10-02
MachineLearning-master\appendix\__init__.py, 0 , 2017-10-02
__MACOSX\MachineLearning-master\appendix, 0 , 2018-06-26
__MACOSX\MachineLearning-master\appendix\.___init__.py, 212 , 2017-10-02
MachineLearning-master\appendix\wine.data, 10782 , 2017-10-02
__MACOSX\MachineLearning-master\appendix\._wine.data, 212 , 2017-10-02
MachineLearning-master\appendix\demo.py, 1711 , 2017-10-02
__MACOSX\MachineLearning-master\appendix\._demo.py, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._appendix, 212 , 2017-10-02
MachineLearning-master\chapter03, 0 , 2017-10-02
MachineLearning-master\chapter03\__init__.py, 0 , 2017-10-02
__MACOSX\MachineLearning-master\chapter03, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter03\.___init__.py, 212 , 2017-10-02
MachineLearning-master\chapter03\iris.data.csv, 4551 , 2017-10-02
__MACOSX\MachineLearning-master\chapter03\._iris.data.csv, 212 , 2017-10-02
MachineLearning-master\chapter03\iris_demo.py, 2523 , 2017-10-02
__MACOSX\MachineLearning-master\chapter03\._iris_demo.py, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._chapter03, 212 , 2017-10-02
MachineLearning-master\chapter04, 0 , 2017-10-02
MachineLearning-master\chapter04\numpy_aritmetic.py, 275 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter04\._numpy_aritmetic.py, 212 , 2017-10-02
MachineLearning-master\chapter04\tuple.py, 43 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._tuple.py, 212 , 2017-10-02
MachineLearning-master\chapter04\none.py, 41 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._none.py, 212 , 2017-10-02
MachineLearning-master\chapter04\list.py, 145 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._list.py, 212 , 2017-10-02
MachineLearning-master\chapter04\pandas_dataframe.py, 342 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._pandas_dataframe.py, 212 , 2017-10-02
MachineLearning-master\chapter04\while_loop.py, 67 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._while_loop.py, 212 , 2017-10-02
MachineLearning-master\chapter04\numpy_createarry.py, 209 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._numpy_createarry.py, 212 , 2017-10-02
MachineLearning-master\chapter04\matplotlib_lineplot.py, 244 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._matplotlib_lineplot.py, 212 , 2017-10-02
MachineLearning-master\chapter04\__init__.py, 0 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\.___init__.py, 212 , 2017-10-02
MachineLearning-master\chapter04\boolean.py, 65 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._boolean.py, 212 , 2017-10-02
MachineLearning-master\chapter04\numpy_accessdata.py, 374 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._numpy_accessdata.py, 212 , 2017-10-02
MachineLearning-master\chapter04\multi_assignment.py, 98 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._multi_assignment.py, 212 , 2017-10-02
MachineLearning-master\chapter04\for_loop.py, 46 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._for_loop.py, 212 , 2017-10-02
MachineLearning-master\chapter04\dictionary.py, 437 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._dictionary.py, 212 , 2017-10-02
MachineLearning-master\chapter04\numbers_test.py, 60 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._numbers_test.py, 212 , 2017-10-02
MachineLearning-master\chapter04\matplotlib_scatter.py, 269 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._matplotlib_scatter.py, 212 , 2017-10-02
MachineLearning-master\chapter04\pandas_series.py, 272 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._pandas_series.py, 212 , 2017-10-02
MachineLearning-master\chapter04\strings.py, 95 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._strings.py, 212 , 2017-10-02
MachineLearning-master\chapter04\function.py, 131 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._function.py, 212 , 2017-10-02
MachineLearning-master\chapter04\if_condition.py, 172 , 2017-10-02
__MACOSX\MachineLearning-master\chapter04\._if_condition.py, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._chapter04, 212 , 2017-10-02
MachineLearning-master\requirements.txt, 42 , 2017-10-02
__MACOSX\MachineLearning-master\._requirements.txt, 212 , 2017-10-02
MachineLearning-master\chapter17, 0 , 2017-10-02
MachineLearning-master\chapter17\__init__.py, 0 , 2017-10-02
__MACOSX\MachineLearning-master\chapter17, 0 , 2018-06-26
__MACOSX\MachineLearning-master\chapter17\.___init__.py, 212 , 2017-10-02
MachineLearning-master\chapter17\random_search.py, 785 , 2017-10-02
__MACOSX\MachineLearning-master\chapter17\._random_search.py, 212 , 2017-10-02
MachineLearning-master\chapter17\grid_search.py, 719 , 2017-10-02
__MACOSX\MachineLearning-master\chapter17\._grid_search.py, 212 , 2017-10-02
MachineLearning-master\chapter17\pima_data.csv, 23279 , 2017-10-02
__MACOSX\MachineLearning-master\chapter17\._pima_data.csv, 212 , 2017-10-02
__MACOSX\MachineLearning-master\._chapter17, 212 , 2017-10-02
MachineLearning-master\chapter10, 0 , 2017-10-02

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

  • bin.src
    JAVA植物大战僵尸供学习参考使用,基于Java基础-面向对象实现植物大战僵尸简易版前言游戏设计游戏对象游戏内容游戏优化放置植物的优化移除植物的优化游戏可玩性的优化添加游戏背景音乐(JAVA Botanical Warfare Zombies for Learning Reference Based on Java Foundation-Object-Oriented Realization of Plant War Zombie Simple Preface Game Design Game Object Game Content Game Optimizing Placement of Plants Optimizing Playability of Plant Removal Game and Adding Game Background Music)
    2020-06-16 00:00:07下载
    积分:1
  • used
    说明:  易语言自助打印报表,可自定义设计大小,颜色,(Easy language self-printing report, customizable design size, color,)
    2019-05-24 16:34:11下载
    积分:1
  • blinkled
    AT80S52 blink led example
    2020-06-21 01:20:08下载
    积分:1
  • fengjimoxing
    风力机模型,可以非常好的描述风机特性 也可以广泛应用(Wind turbine model, the fan can be a very good description of properties can be widely used)
    2011-11-28 10:59:11下载
    积分:1
  • 01 层次分析法
    层次分析法、在matlab中的代码可以直接用(Analytic Hierarchy Process)
    2019-01-25 17:23:34下载
    积分:1
  • 软件工程
    说明:  jiaoshi股份的合格分析解决彼此幸福(jiaoshihgxfhjghjyrjfxdtdthgffjddhfjdffjf)
    2019-01-05 22:36:13下载
    积分:1
  • ansys稳态热分析命令流
    利用ANSYS模拟耦合温度场模拟的命令流,非常实用。热稳态分析(steady-state analysis)
    2018-10-01 20:13:57下载
    积分:1
  • 滑模移动小车控制
    说明:  建立滑变结构动力学模型,进行matlab编程验证了模型的有效性。((A sliding mode dynamic model is established, and MATLAB programming is used to verify the validity of the model.))
    2020-07-07 20:54:38下载
    积分:1
  • 求整数的质因数分解(采用了数组).c.rar 可以求出整数的质因数...
    求整数的质因数分解(采用了数组).c.rar 可以求出整数的质因数-for the quality factor decomposition (using the arrays). C.rar integers can be calculated the quality factor
    2022-01-29 03:04:33下载
    积分:1
  • 很强大的频率计,是仿真的 通过测试 非常的好
    很强大的频率计,是仿真的 通过测试 非常的好-Very powerful frequency counter, is to pass the test simulation is very good
    2022-03-10 23:20:59下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载