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<h1 id="统计学相关知识"><a href="#统计学相关知识" class="headerlink" title="统计学相关知识"></a>统计学相关知识</h1><p>在平常的机器学习应用中,我们首先要做的事情就是分析数据.分析数据有很多种方法,而且其中很多方法都是统计学中的内容.本篇blog主要记录我认为平常经常能够用到的统计学内容.</p>
<h2 id="箱线图-box"><a href="#箱线图-box" class="headerlink" title="箱线图(box)"></a>箱线图(box)</h2><p>箱线图主要是用来分析数据中的异常值,在数据分析中非常有用.同时它也能够用来分析某一个特征跟预测值之间的关系,<a href="https://blog.csdn.net/clairliu/article/details/79217546">参考</a>.如下图所示<br><img src="/%E7%BB%9F%E8%AE%A1%E5%AD%A6%E7%9F%A5%E8%AF%86/%E7%AE%B1%E7%BA%BF%E5%9B%BE.png" class="" title="箱线图"></p>
<p>在python的seaborn包中画箱线图主要是调用<strong>boxplot</strong>函数,具体的使用方法可以查看相关文档.</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">import</span> seaborn <span class="keyword">as</span> sns</span><br><span class="line">sns.boxplot(x,y,data)</span><br><span class="line"></span><br></pre></td></tr></table></figure>
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