登录
首页 » Python » MachineLearning-master

MachineLearning-master

于 2020-09-26 发布
0 176
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

  • 遗传算法路径优化实例源程序
    说明:  matlab遗传算法路径优化代码实例,可供大家学习。同时带有注释,大家可根据自己需要进行学习(Matlab genetic algorithm path optimization code examples for everyone to learn. At the same time with notes, everyone can learn according to their needs)
    2020-06-28 15:00:01下载
    积分:1
  • cr-wom.rar
    2022-08-03 13:11:12下载
    积分:1
  • new-PID-control-and-application
    各种新型的PID算法原理介绍及其应用,包括数字PID算法及其改进,自适应PID控制算法,模糊PID控制算法等(New forms of PID algorithm, this paper describes its application, including digital PID algorithm and its improvement, adaptive PID control algorithm, fuzzy PID control algorithm, etc.)
    2010-02-01 13:50:59下载
    积分:1
  • mulgypoe-status-functions
    用java的applet实现的ufo攻击小游戏,用到了动画和声音处理,(Implementation using Java applet UFO attacks little game, with the help of animation and sound processing,)
    2017-03-20 20:34:24下载
    积分:1
  • 空间矢量异步电机变频器-
    我们设计的异步电机变频调速器以TMS320F28035芯片为控制核心,通过输出三相PWM波控制智能功率模块IPM驱动三相异步电机。我们使用空间矢量SVPWM算法,并对其进行了优化。采用异步电机无传感器测速算法省去了昂贵的光电编码器,大大节省了成本。同时开创性的研发了自动根据运行环境调节的自适应变频算法,使我们的变频调速器可以在电网条件恶劣的乡村山区工作,由此该变频器已被一家民用水泵生产企业预订。(We design the asynchronous motor frequency conversion governor with TMS320F28035 chip as the control core, and output three-phase PWM wave to control the intelligent power module IPM to drive the three-phase asynchronous motor. We use space vector SVPWM algorithm and optimize it. The sensorless speed measurement algorithm of asynchronous motor eliminates the expensive photoelectric encoder and greatly saves the cost. At the same time, pioneering research automatic conversion algorithm based on adaptive adjustment of the operating environment, we can make VVVF in power grid conditions of rural area, thus the inverter has been a civil pump manufacturer reservation.)
    2017-10-19 22:34:05下载
    积分:1
  • 新建文件夹
    说明:  用spss时间序列预测得到游乐园的每天游玩人数(using time series prediction)
    2019-07-11 20:36:06下载
    积分:1
  • 基于改进斜投影算子的极化域通信抗干扰技术
    说明:  针对无线通信中的抗干扰和干扰抑制问题, 提出一种极化域通信抗干扰方法。在信号极化域利用斜投影极化滤波器, 以克服传统的频域抗干扰技术的缺点。通过对斜投影滤波器的特点进行研究, 在信号极化域设计多种干扰抑制和抗干扰技术, 包括优化极化发射信号、非线性矢量变换的增广斜投影滤波器以及接收信号的统计特性, 以改进斜投影滤波器的设计。(Aiming at the problem of anti-jamming and interference suppression in wireless communication, a method of anti-jamming in polarization domain is proposed. The oblique projection polarization filter is used in the signal polarization domain to overcome the shortcomings of the traditional frequency domain anti-jamming technology. By studying the characteristics of oblique projection filter, we design a variety of interference suppression and anti-interference technologies in signal polarization domain, including optimizing the statistical characteristics of polarized emission signal, augmented oblique projection filter based on non-linear vector transformation and received signal, in order to improve the design of oblique projection filter.)
    2020-06-17 18:20:02下载
    积分:1
  • 矩阵导致小程序,对输入的矩阵求倒置后的矩阵
    矩阵导致小程序,对输入的矩阵求倒置后的矩阵-Matrix led to a small program, the input of the matrix after the matrix inversion
    2022-04-06 10:06:55下载
    积分:1
  • quantitative-trading-strategies
    量化交易策略,华尔街宽客撰写,可值得参考。(Quantitative trading strategy, Wall Street quants writing, may be worth considering.)
    2021-03-26 13:29:13下载
    积分:1
  • MATALB 程序
    说明:  这是张小飞的阵列信号的全部MATLAB代码,内容详尽!(This is zhang xiaofei's array signal all MATLAB code, the content is detailed)
    2021-04-27 11:08:45下载
    积分:1
  • 696518资源总数
  • 106164会员总数
  • 18今日下载