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algo et data science
2018-08-24 14:09:11 +02:00
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<div class="section" id="machine-learning">
<h1>Machine learning<a class="headerlink" href="#machine-learning" title="Permalink to this headline"></a></h1>
<p>Data science (not big data yet)</p>
<div class="section" id="some-links">
<h2>some links<a class="headerlink" href="#some-links" title="Permalink to this headline"></a></h2>
<p>numpy, scipy, matplotlib… and scikit</p>
<p><a class="reference external" href="https://www.scipy.org/install.html">https://www.scipy.org/install.html</a>
<a class="reference external" href="https://matplotlib.org/">https://matplotlib.org/</a>
<a class="reference external" href="http://scikit-learn.org/stable/">http://scikit-learn.org/stable/</a></p>
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<div class="section" id="installation">
<h2>installation<a class="headerlink" href="#installation" title="Permalink to this headline"></a></h2>
<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">Python</span> <span class="mf">3.6</span><span class="o">.</span><span class="mi">5</span> <span class="p">(</span><span class="n">default</span><span class="p">,</span> <span class="n">Apr</span> <span class="mi">1</span> <span class="mi">2018</span><span class="p">,</span> <span class="mo">05</span><span class="p">:</span><span class="mi">46</span><span class="p">:</span><span class="mi">30</span><span class="p">)</span>
<span class="p">[</span><span class="n">GCC</span> <span class="mf">7.3</span><span class="o">.</span><span class="mi">0</span><span class="p">]</span> <span class="n">on</span> <span class="n">linux</span>
<span class="n">Type</span> <span class="s2">&quot;help&quot;</span><span class="p">,</span> <span class="s2">&quot;copyright&quot;</span><span class="p">,</span> <span class="s2">&quot;credits&quot;</span> <span class="ow">or</span> <span class="s2">&quot;license&quot;</span> <span class="k">for</span> <span class="n">more</span> <span class="n">information</span><span class="o">.</span>
<span class="o">&gt;&gt;&gt;</span> <span class="kn">import</span> <span class="nn">sys</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;Python: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sys</span><span class="o">.</span><span class="n">version</span><span class="p">))</span>
<span class="n">Python</span><span class="p">:</span> <span class="mf">3.6</span><span class="o">.</span><span class="mi">5</span> <span class="p">(</span><span class="n">default</span><span class="p">,</span> <span class="n">Apr</span> <span class="mi">1</span> <span class="mi">2018</span><span class="p">,</span> <span class="mo">05</span><span class="p">:</span><span class="mi">46</span><span class="p">:</span><span class="mi">30</span><span class="p">)</span>
<span class="p">[</span><span class="n">GCC</span> <span class="mf">7.3</span><span class="o">.</span><span class="mi">0</span><span class="p">]</span>
<span class="o">&gt;&gt;&gt;</span> <span class="kn">import</span> <span class="nn">scipy</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;scipy: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">scipy</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
<span class="n">scipy</span><span class="p">:</span> <span class="mf">0.19</span><span class="o">.</span><span class="mi">1</span>
<span class="o">&gt;&gt;&gt;</span> <span class="kn">import</span> <span class="nn">numpy</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;numpy: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
<span class="n">numpy</span><span class="p">:</span> <span class="mf">1.13</span><span class="o">.</span><span class="mi">3</span>
<span class="o">&gt;&gt;&gt;</span> <span class="kn">import</span> <span class="nn">matplotlib</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;matplotlib: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
<span class="n">matplotlib</span><span class="p">:</span> <span class="mf">2.1</span><span class="o">.</span><span class="mi">1</span>
<span class="o">&gt;&gt;&gt;</span> <span class="c1"># pandas</span>
<span class="o">...</span>
<span class="o">&gt;&gt;&gt;</span> <span class="kn">import</span> <span class="nn">pandas</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;pandas: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">pandas</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
<span class="n">pandas</span><span class="p">:</span> <span class="mf">0.22</span><span class="o">.</span><span class="mi">0</span>
<span class="o">&gt;&gt;&gt;</span> <span class="c1"># scikit-learn</span>
<span class="o">...</span> <span class="kn">import</span> <span class="nn">sklearn</span>
<span class="o">&gt;&gt;&gt;</span> <span class="k">print</span><span class="p">(</span><span class="s1">&#39;sklearn: {}&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sklearn</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
<span class="n">sklearn</span>
</pre></div>
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<div class="section" id="usage">
<h2>usage<a class="headerlink" href="#usage" title="Permalink to this headline"></a></h2>
<p><a class="reference external" href="https://machinelearningmastery.com/machine-learning-in-python-step-by-step/">https://machinelearningmastery.com/machine-learning-in-python-step-by-step/</a></p>
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