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机器学习概述
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常见机器学习算法
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近朱者赤近墨者黑-kNN
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物以类聚人以群分-kMeans
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以距离为尺-AGNES
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回归性能评估指标
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聚类性能评估指标
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使用sklearn进行机器学习
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综合实战案例
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</span>
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<ul class="articles">
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泰坦尼克生还预测
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<ul class="articles">
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简介
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探索性数据分析(EDA)
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</a>
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</li>
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<li class="chapter " data-level="1.6.1.3" data-path="titanic/feature engerning.html">
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<a href="titanic/feature engerning.html">
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特征工程
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</a>
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</li>
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<li class="chapter " data-level="1.6.1.4" data-path="titanic/fit and predict.html">
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<a href="titanic/fit and predict.html">
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构建模型进行预测
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</a>
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<a href="titanic/tuning.html">
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调参
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</a>
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</li>
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</ul>
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<li class="chapter " data-level="1.6.2" >
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<span>
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使用强化学习玩乒乓球游戏
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</span>
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<ul class="articles">
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<li class="chapter " data-level="1.6.2.1" data-path="pingpong/what is reinforce learning.html">
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<a href="pingpong/what is reinforce learning.html">
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什么是强化学习
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</a>
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<li class="chapter " data-level="1.6.2.2" data-path="pingpong/Policy Gradient.html">
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<a href="pingpong/Policy Gradient.html">
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Policy Gradient原理
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</a>
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<li class="chapter " data-level="1.6.2.3" data-path="pingpong/coding.html">
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<a href="pingpong/coding.html">
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使用Policy Gradient玩乒乓球游戏
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</a>
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</li>
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</ul>
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</ul>
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<li class="chapter active" data-level="1.7" data-path="recommand.html">
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<a href="recommand.html">
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实训推荐
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</a>
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<!-- Title -->
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<h1>
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<i class="fa fa-circle-o-notch fa-spin"></i>
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<a href="." >实训推荐</a>
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</h1>
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<div class="page-wrapper" tabindex="-1" role="main">
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<section class="normal markdown-section">
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<h1 id="实训推荐">实训推荐</h1>
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<p>关于本书的实验与涉及的案例均可以在平台进行体验,名称与链接如下:</p>
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<table>
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<thead>
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<tr>
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<th>名称</th>
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<th>链接</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>《机器学习》---绪论</td>
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<td><a href="https://www.educoder.net/shixuns/4fhemfr9/challenges" target="_blank">https://www.educoder.net/shixuns/4fhemfr9/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---模型评估与选择</td>
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<td><a href="https://www.educoder.net/shixuns/cbsfh3r5/challenges" target="_blank">https://www.educoder.net/shixuns/cbsfh3r5/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---线性回归</td>
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<td><a href="https://www.educoder.net/shixuns/4awq25iv/challenges" target="_blank">https://www.educoder.net/shixuns/4awq25iv/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---逻辑回归</td>
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<td><a href="https://www.educoder.net/shixuns/tw9up75v/challenges" target="_blank">https://www.educoder.net/shixuns/tw9up75v/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---kNN算法</td>
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<td><a href="https://www.educoder.net/shixuns/aw9bxy75/challenges" target="_blank">https://www.educoder.net/shixuns/aw9bxy75/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---决策树</td>
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<td><a href="https://www.educoder.net/shixuns/hl7wacq5/challenges" target="_blank">https://www.educoder.net/shixuns/hl7wacq5/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---随机森林</td>
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<td><a href="https://www.educoder.net/shixuns/ya8h7utx/challenges" target="_blank">https://www.educoder.net/shixuns/ya8h7utx/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---k-means</td>
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<td><a href="https://www.educoder.net/shixuns/k6fp4saq/challenges" target="_blank">https://www.educoder.net/shixuns/k6fp4saq/challenges</a></td>
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</tr>
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<tr>
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<td>《机器学习》---AGNES</td>
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<td><a href="https://www.educoder.net/shixuns/qy9gozt8/challenges" target="_blank">https://www.educoder.net/shixuns/qy9gozt8/challenges</a></td>
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</tr>
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<tr>
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<td>泰坦尼克号生还预测</td>
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<td><a href="https://www.educoder.net/shixuns/kz3fixv9/challenges" target="_blank">https://www.educoder.net/shixuns/kz3fixv9/challenges</a></td>
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</tr>
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</tbody>
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</table>
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<p>也可通过扫码查看整套课程,二维码如下:</p>
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<div align="center"><img src="img/999.png"></div>
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