rebuild dev

Author: trevorcampbell

docs/Getting-started-with-Jupyter.html

@@ -26,7 +26,7 @@
 <meta name="author" content="Melissa Lee" />
 
 
-<meta name="date" content="2021-09-19" />
+<meta name="date" content="2021-09-23" />
 
   <meta name="viewport" content="width=device-width, initial-scale=1" />
   <meta name="apple-mobile-web-app-capable" content="yes" />
@@ -299,13 +299,13 @@
 <li class="chapter" data-level="5.4.2" data-path="classification.html"><a href="classification.html#describing-the-variables-in-the-cancer-data-set"><i class="fa fa-check"></i><b>5.4.2</b> Describing the variables in the cancer data set</a></li>
 <li class="chapter" data-level="5.4.3" data-path="classification.html"><a href="classification.html#exploring-the-cancer-data"><i class="fa fa-check"></i><b>5.4.3</b> Exploring the cancer data</a></li>
 </ul></li>
-<li class="chapter" data-level="5.5" data-path="classification.html"><a href="classification.html#classification-with-k-nearest-neighbours"><i class="fa fa-check"></i><b>5.5</b> Classification with K-nearest neighbours</a>
+<li class="chapter" data-level="5.5" data-path="classification.html"><a href="classification.html#classification-with-k-nearest-neighbors"><i class="fa fa-check"></i><b>5.5</b> Classification with <span class="math inline">\(K\)</span>-nearest neighbors</a>
 <ul>
 <li class="chapter" data-level="5.5.1" data-path="classification.html"><a href="classification.html#distance-between-points"><i class="fa fa-check"></i><b>5.5.1</b> Distance between points</a></li>
 <li class="chapter" data-level="5.5.2" data-path="classification.html"><a href="classification.html#more-than-two-explanatory-variables"><i class="fa fa-check"></i><b>5.5.2</b> More than two explanatory variables</a></li>
-<li class="chapter" data-level="5.5.3" data-path="classification.html"><a href="classification.html#summary-of-k-nearest-neighbours-algorithm"><i class="fa fa-check"></i><b>5.5.3</b> Summary of K-nearest neighbours algorithm</a></li>
+<li class="chapter" data-level="5.5.3" data-path="classification.html"><a href="classification.html#summary-of-k-nearest-neighbors-algorithm"><i class="fa fa-check"></i><b>5.5.3</b> Summary of <span class="math inline">\(K\)</span>-nearest neighbors algorithm</a></li>
 </ul></li>
-<li class="chapter" data-level="5.6" data-path="classification.html"><a href="classification.html#k-nearest-neighbours-with-tidymodels"><i class="fa fa-check"></i><b>5.6</b> K-nearest neighbours with <code>tidymodels</code></a></li>
+<li class="chapter" data-level="5.6" data-path="classification.html"><a href="classification.html#k-nearest-neighbors-with-tidymodels"><i class="fa fa-check"></i><b>5.6</b> <span class="math inline">\(K\)</span>-nearest neighbors with <code>tidymodels</code></a></li>
 <li class="chapter" data-level="5.7" data-path="classification.html"><a href="classification.html#data-preprocessing-with-tidymodels"><i class="fa fa-check"></i><b>5.7</b> Data preprocessing with <code>tidymodels</code></a>
 <ul>
 <li class="chapter" data-level="5.7.1" data-path="classification.html"><a href="classification.html#centering-and-scaling"><i class="fa fa-check"></i><b>5.7.1</b> Centering and scaling</a></li>