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| 1 | +<!DOCTYPE html> |
| 2 | +<html lang="en-us"> |
| 3 | + <head> |
| 4 | + <meta charset="UTF-8"> |
| 5 | + <title>莫烦Python by MorvanZhou</title> |
| 6 | + <meta name="viewport" content="width=device-width, initial-scale=1"> |
| 7 | + <link rel="stylesheet" type="text/css" href="stylesheets/normalize.css" media="screen"> |
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| 11 | + </head> |
| 12 | + <body> |
| 13 | + <section class="page-header"> |
| 14 | + <h1 class="project-name">莫烦Python</h1> |
| 15 | + <h2 class="project-tagline">python, 机器学习,</h2> |
| 16 | + <a href="https://github.com/MorvanZhou/tutorials" class="btn">View on GitHub</a> |
| 17 | + <a href="https://github.com/MorvanZhou/tutorials/zipball/master" class="btn">Download .zip</a> |
| 18 | + <a href="https://github.com/MorvanZhou/tutorials/tarball/master" class="btn">Download .tar.gz</a> |
| 19 | + </section> |
| 20 | + |
| 21 | + <section class="main-content"> |
| 22 | + <h1> |
| 23 | +<a id="关于-莫烦python" class="anchor" href="#%E5%85%B3%E4%BA%8E-%E8%8E%AB%E7%83%A6python" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>关于 莫烦Python</h1> |
| 24 | + |
| 25 | +<p>这个 github 是我做 python 机器学习视频教程的支柱. 里面都是视频中提到的代码源码. 主要做的方面是机器学习的, 包括神经网络等等. |
| 26 | +自己的 research 是在神经网络和强化学习方面, 所以以后也会补上强化学习的教程, 敬请期待. 欢迎大家分享传播, 让我们都能轻松的学习~</p> |
| 27 | + |
| 28 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/%E7%89%87%E5%A4%B4.png?raw=true" height="200"></a></p> |
| 29 | + |
| 30 | +<h2> |
| 31 | +<a id="大陆没办法翻墙-我们还有优酷-网易云" class="anchor" href="#%E5%A4%A7%E9%99%86%E6%B2%A1%E5%8A%9E%E6%B3%95%E7%BF%BB%E5%A2%99-%E6%88%91%E4%BB%AC%E8%BF%98%E6%9C%89%E4%BC%98%E9%85%B7-%E7%BD%91%E6%98%93%E4%BA%91" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>大陆没办法翻墙, 我们还有优酷, 网易云</h2> |
| 32 | + |
| 33 | +<p><a href="http://i.youku.com/pythontutorial">优酷频道主页</a></p> |
| 34 | + |
| 35 | +<p><a href="http://study.163.com/u/2635988091">网易云课堂</a></p> |
| 36 | + |
| 37 | +<h2> |
| 38 | +<a id="有梯子的同学-youtube-等着你呢" class="anchor" href="#%E6%9C%89%E6%A2%AF%E5%AD%90%E7%9A%84%E5%90%8C%E5%AD%A6-youtube-%E7%AD%89%E7%9D%80%E4%BD%A0%E5%91%A2" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>有梯子的同学, Youtube 等着你呢</h2> |
| 39 | + |
| 40 | +<p><a href="https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg">Youtube 频道主页</a></p> |
| 41 | + |
| 42 | +<h2> |
| 43 | +<a id="以下内容是频道内的结构咯" class="anchor" href="#%E4%BB%A5%E4%B8%8B%E5%86%85%E5%AE%B9%E6%98%AF%E9%A2%91%E9%81%93%E5%86%85%E7%9A%84%E7%BB%93%E6%9E%84%E5%92%AF" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>以下内容是频道内的结构咯</h2> |
| 44 | + |
| 45 | +<h3> |
| 46 | +<a id="python-基础" class="anchor" href="#python-%E5%9F%BA%E7%A1%80" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Python 基础</h3> |
| 47 | + |
| 48 | +<p>对于 python 还很陌生的同学们,没问题, 这里是一个快速入门的通道. 这不一定是最好的通道, 不过是通往机器学习道路上比较好的通道.我筛选了一些没必要的内容, 只留下专门为了机器学习有关的内容.</p> |
| 49 | + |
| 50 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cIRP5gCi8AlYwQ1uFO2aQBw">Python 基础 教程视频(Youtube)</a></p> |
| 51 | + |
| 52 | +<p><a href="http://list.youku.com/albumlist/show?id=27312381&ascending=1&page=1">Python 基础 教程视频(优酷)</a></p> |
| 53 | + |
| 54 | +<hr> |
| 55 | + |
| 56 | +<h3> |
| 57 | +<a id="机器学习-简介系列" class="anchor" href="#%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-%E7%AE%80%E4%BB%8B%E7%B3%BB%E5%88%97" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/ML_intro/README.md">机器学习-简介系列</a> |
| 58 | +</h3> |
| 59 | + |
| 60 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/ML_intro/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/ML_intro/ML%20brief%20intro.png?raw=true" height="200"></a></p> |
| 61 | + |
| 62 | +<p>这是对于机器学习的各种方法的一个简短介绍, 还有学好机器学习很多实用的小技巧.</p> |
| 63 | + |
| 64 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cIFm8Y8vMkNNPPXAtYXwKin">机器学习-简介系列 视频教程(Youtuebe)</a></p> |
| 65 | + |
| 66 | +<p><a href="http://list.youku.com/albumlist/show?id=27892935&ascending=1&page=1">机器学习-简介系列 视频教程(优酷)</a></p> |
| 67 | + |
| 68 | +<p>以及<机器学习-简介系列>的<a href="https://github.com/MorvanZhou/tutorials/blob/master/ML_intro/README.md">学习目录</a></p> |
| 69 | + |
| 70 | +<hr> |
| 71 | + |
| 72 | +<h3> |
| 73 | +<a id="tensorflow" class="anchor" href="#tensorflow" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/Readme.md">Tensorflow</a> |
| 74 | +</h3> |
| 75 | + |
| 76 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/Readme.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/Tensorflow%20course%20cover%20page.jpg?raw=true" height="200"></a></p> |
| 77 | + |
| 78 | +<p>Tensorflow 是神经网络方面的主力军之一. 这一套教程从最基础的方面,一直简单风趣地讲解到最高级的方面. 是入门的Tensorflow 神经网络的首选.</p> |
| 79 | + |
| 80 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cKI5AIlf5TxxFPzb-0zeVZ8">Tensorflow 神经网络 深度学习 视频教程(Youtube)</a></p> |
| 81 | + |
| 82 | +<p><a href="http://www.youku.com/playlist_show/id_27327189.html">Tensorflow 神经网络 深度学习 视频教程(优酷)</a></p> |
| 83 | + |
| 84 | +<p>以及 Tensorflow 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/Readme.md">学习目录</a></p> |
| 85 | + |
| 86 | +<hr> |
| 87 | + |
| 88 | +<h3> |
| 89 | +<a id="scikit-learn-sklearn" class="anchor" href="#scikit-learn-sklearn" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/README.md">SciKit-Learn (sklearn)</a> |
| 90 | +</h3> |
| 91 | + |
| 92 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/sklearn%20cover%20page.jpg?raw=true" height="200"></a></p> |
| 93 | + |
| 94 | +<p>SciKit-Learn 汇集了各种各样的机器学习方法, 是一个全方面的汇总. 对于不同的项目, 我们可能会用到不同的机器学习方法. 掌握 sklearn 的通用学习形式, 我们就能打遍天下无敌是.</p> |
| 95 | + |
| 96 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cI7ZleLM5i3XXhhe9YmVrRO">scikit-learn 机器学习 视频教程(Youtube)</a></p> |
| 97 | + |
| 98 | +<p><a href="http://www.youku.com/playlist_show/id_27469882.html">scikit-learn 机器学习 视频教程(优酷)</a></p> |
| 99 | + |
| 100 | +<p>以及 Sklearn 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/sklearnTUT/README.md">学习目录</a></p> |
| 101 | + |
| 102 | +<hr> |
| 103 | + |
| 104 | +<h3> |
| 105 | +<a id="theano" class="anchor" href="#theano" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/README.md">Theano</a> |
| 106 | +</h3> |
| 107 | + |
| 108 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/theano%20cover%20page.jpg?raw=true" height="200"></a></p> |
| 109 | + |
| 110 | +<p>Theano 算得上是 Tensorflow 的前身, 和 Tensorflow 有着类似的结构形式. 目前的 Tensorflow 还不能很好的支持 Windows 系统, 所以如果想在 Windows 系统上玩转神经网络, Theano 是一个很好的替代选择.</p> |
| 111 | + |
| 112 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cKpDID642AjNkygrSR5X15T">Theano 神经网络 机器学习 视频教程(Youtube)</a></p> |
| 113 | + |
| 114 | +<p><a href="http://www.youku.com/playlist_show/id_27743371.html">Theano 神经网络 机器学习 视频教程(优酷)</a></p> |
| 115 | + |
| 116 | +<p>以及 Theano 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/theanoTUT/README.md">学习目录</a></p> |
| 117 | + |
| 118 | +<hr> |
| 119 | + |
| 120 | +<h3> |
| 121 | +<a id="matplotlib" class="anchor" href="#matplotlib" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/README.md">Matplotlib</a> |
| 122 | +</h3> |
| 123 | + |
| 124 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/cover%20page.jpg?raw=true" height="200"></a></p> |
| 125 | + |
| 126 | +<p>有了机器学习的各种方法, 我很还需要很多其他的工具来完善学习过程, 提高自己的学习效率. 其中之一就是把数据,结果都可视化出来. 有了直观的可视化结果, 我们就能更好的掌握知识. Matplotlib 就是 python 的一个可视化神器.</p> |
| 127 | + |
| 128 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cKiBRXYqNNCw8AUo6tYen3l">Matplotlib 图像可视化 视频教程(Youtube)</a></p> |
| 129 | + |
| 130 | +<p><a href="http://www.youku.com/playlist_show/id_28097045.html">Matplotlib 图像可视化 视频教程(优酷)</a></p> |
| 131 | + |
| 132 | +<p>以及 Matplotlib 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/matplotlibTUT/README.md">学习目录</a></p> |
| 133 | + |
| 134 | +<hr> |
| 135 | + |
| 136 | +<h3> |
| 137 | +<a id="numpy--pandas" class="anchor" href="#numpy--pandas" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/numpy%26pandas/README.md">Numpy & Pandas</a> |
| 138 | +</h3> |
| 139 | + |
| 140 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/numpy%26pandas/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/numpy&pandas/cover%20page.jpg?raw=true" height="200"></a></p> |
| 141 | + |
| 142 | +<p>科学运算是工科生必不可少的一个工具, numpy 和 pandas 就是为了我们在 python 中运用高效的科学运算所开发出来的.</p> |
| 143 | + |
| 144 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cKKyC45gatc8wEc3Ue7BlI4">Numpy & Pandas 数据处理 视频教程(Youtube)</a></p> |
| 145 | + |
| 146 | +<p><a href="http://www.youku.com/playlist_show/id_27329155.html">Numpy & Pandas 数据处理 视频教程(优酷)</a></p> |
| 147 | + |
| 148 | +<p>以及 Numpy & Pandas 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/numpy%26pandas/README.md">学习目录</a></p> |
| 149 | + |
| 150 | +<hr> |
| 151 | + |
| 152 | +<h3> |
| 153 | +<a id="python-multiprocessing" class="anchor" href="#python-multiprocessing" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Python Multiprocessing</h3> |
| 154 | + |
| 155 | +<p>这是 python 的基础教程之一, 对于了解如何高效的运用我们的计算机运算能力有很好的帮助.</p> |
| 156 | + |
| 157 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cJgYDaJbwhg629-Il5cfkhe">Multiprocessing 多进程 视频教程(Youtube)</a></p> |
| 158 | + |
| 159 | +<p><a href="http://www.youku.com/playlist_show/id_27423283.html">Multiprocessing 多进程 视频教程(优酷)</a></p> |
| 160 | + |
| 161 | +<hr> |
| 162 | + |
| 163 | +<h3> |
| 164 | +<a id="python-threading" class="anchor" href="#python-threading" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Python Threading</h3> |
| 165 | + |
| 166 | +<p>同上, 可是在机器学习的运用中, 有时并没有 multiprocessing 模块好.</p> |
| 167 | + |
| 168 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cKaHtKLn-jat8SOGndS3MEt">Threading 多线程 视频教学(Youtube)</a></p> |
| 169 | + |
| 170 | +<p><a href="http://www.youku.com/playlist_show/id_27399497.html">Threading 多线程 视频教学(优酷)</a></p> |
| 171 | + |
| 172 | +<hr> |
| 173 | + |
| 174 | +<h3> |
| 175 | +<a id="python-tkinter" class="anchor" href="#python-tkinter" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a><a href="https://github.com/MorvanZhou/tutorials/blob/master/tkinterTUT/README.md">Python Tkinter</a> |
| 176 | +</h3> |
| 177 | + |
| 178 | +<p><a href="https://github.com/MorvanZhou/tutorials/blob/master/tkinterTUT/README.md"><img src="https://github.com/MorvanZhou/tutorials/blob/master/tkinterTUT/cover%20page.jpg?raw=true" height="200"></a></p> |
| 179 | + |
| 180 | +<p>Tkinter 是 python 自带的可视化窗口包, 可以用来做 simulation 的可视化, 而且他也是跨平台兼容. </p> |
| 181 | + |
| 182 | +<p><a href="https://www.youtube.com/playlist?list=PLXO45tsB95cJU56K4EtkG0YNGBZCuDwAH">Tkinter 跨平台 GUI 视频教学(Youtube)</a></p> |
| 183 | + |
| 184 | +<p><a href="http://www.youku.com/playlist_show/id_27433146.html">Tkinter 跨平台 GUI 视频教学(优酷)</a></p> |
| 185 | + |
| 186 | +<p>以及 tkinter 的<a href="https://github.com/MorvanZhou/tutorials/blob/master/tkinterTUT/README.md">学习目录</a></p> |
| 187 | + |
| 188 | +<hr> |
| 189 | + |
| 190 | +<h2> |
| 191 | +<a id="赞助-让教学变得更好" class="anchor" href="#%E8%B5%9E%E5%8A%A9-%E8%AE%A9%E6%95%99%E5%AD%A6%E5%8F%98%E5%BE%97%E6%9B%B4%E5%A5%BD" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>赞助, 让教学变得更好</h2> |
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| 197 | +<img alt="" border="0" src="https://www.paypalobjects.com/en_AU/i/scr/pixel.gif" width="1" height="1"> |
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| 213 | + |
| 214 | + <footer class="site-footer"> |
| 215 | + <span class="site-footer-owner"><a href="https://github.com/MorvanZhou/tutorials">莫烦Python</a> is maintained by <a href="https://github.com/MorvanZhou">MorvanZhou</a>.</span> |
| 216 | + |
| 217 | + <span class="site-footer-credits">This page was generated by <a href="https://pages.github.com">GitHub Pages</a> using the <a href="https://github.com/jasonlong/cayman-theme">Cayman theme</a> by <a href="https://twitter.com/jasonlong">Jason Long</a>.</span> |
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