Merge pull request #604 from data-edu/c10-new-content

C14 new content. FYI this is being merged from a branch for ch 10.

.gitignore

@@ -8,9 +8,9 @@ data/.DS_Store
 10a_scratch.R
 _main.rds
 *.json
-*.html 
+*.html
 _book/
 _bookdown_files/
 libs/
 **/*.bib
-**/*.html 
+**/*.html

_book/404.html

@@ -6,7 +6,7 @@
   <meta http-equiv="X-UA-Compatible" content="IE=edge" />
   <title>Page not found | Data Science in Education Using R</title>
   <meta name="description" content="Bookdown for ‘Data Science in Education Using R’ by Ryan A. Estrellado, Emily A. Freer, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2024" />
-  <meta name="generator" content="bookdown 0.35 and GitBook 2.6.7" />
+  <meta name="generator" content="bookdown 0.38 and GitBook 2.6.7" />
 
   <meta property="og:title" content="Page not found | Data Science in Education Using R" />
   <meta property="og:type" content="book" />
@@ -530,7 +530,7 @@
 </ul></li>
 <li class="chapter" data-level="13.10" data-path="c13.html"><a href="c13.html#conclusion-9"><i class="fa fa-check"></i><b>13.10</b> Conclusion</a></li>
 </ul></li>
-<li class="chapter" data-level="14" data-path="c14.html"><a href="c14.html"><i class="fa fa-check"></i><b>14</b> Walkthrough 8: Predicting students’ final grades using machine learning methods with online course data</a>
+<li class="chapter" data-level="14" data-path="c14.html"><a href="c14.html"><i class="fa fa-check"></i><b>14</b> Walkthrough 8: Predicting students’ final grades using supervised machine learning</a>
 <ul>
 <li class="chapter" data-level="14.1" data-path="c14.html"><a href="c14.html#topics-emphasized-9"><i class="fa fa-check"></i><b>14.1</b> Topics emphasized</a></li>
 <li class="chapter" data-level="14.2" data-path="c14.html"><a href="c14.html#functions-introduced-9"><i class="fa fa-check"></i><b>14.2</b> Functions introduced</a></li>
@@ -541,21 +541,11 @@
 <li class="chapter" data-level="14.4.2" data-path="c14.html"><a href="c14.html#data-sources-3"><i class="fa fa-check"></i><b>14.4.2</b> Data sources</a></li>
 <li class="chapter" data-level="14.4.3" data-path="c14.html"><a href="c14.html#methods-6"><i class="fa fa-check"></i><b>14.4.3</b> Methods</a></li>
 </ul></li>
-<li class="chapter" data-level="14.5" data-path="c14.html"><a href="c14.html#load-packages-6"><i class="fa fa-check"></i><b>14.5</b> Load packages</a></li>
-<li class="chapter" data-level="14.6" data-path="c14.html"><a href="c14.html#import-and-view-data"><i class="fa fa-check"></i><b>14.6</b> Import and view data</a></li>
-<li class="chapter" data-level="14.7" data-path="c14.html"><a href="c14.html#process-data-4"><i class="fa fa-check"></i><b>14.7</b> Process data</a></li>
-<li class="chapter" data-level="14.8" data-path="c14.html"><a href="c14.html#analysis-5"><i class="fa fa-check"></i><b>14.8</b> Analysis</a>
+<li class="chapter" data-level="14.5" data-path="c14.html"><a href="c14.html#load-packages-6"><i class="fa fa-check"></i><b>14.5</b> Load packages</a>
 <ul>
-<li class="chapter" data-level="14.8.1" data-path="c14.html"><a href="c14.html#use-of-caret"><i class="fa fa-check"></i><b>14.8.1</b> Use of {caret}</a></li>
-<li class="chapter" data-level="14.8.2" data-path="c14.html"><a href="c14.html#tuning-the-random-forest-model"><i class="fa fa-check"></i><b>14.8.2</b> Tuning the random forest model</a></li>
-<li class="chapter" data-level="14.8.3" data-path="c14.html"><a href="c14.html#examining-predictive-accuracy-on-the-test-dataset"><i class="fa fa-check"></i><b>14.8.3</b> Examining predictive accuracy on the test dataset</a></li>
+<li class="chapter" data-level="14.5.1" data-path="c14.html"><a href="c14.html#preprocessing-and-feature-engineering"><i class="fa fa-check"></i><b>14.5.1</b> Preprocessing and Feature Engineering</a></li>
 </ul></li>
-<li class="chapter" data-level="14.9" data-path="c14.html"><a href="c14.html#results-5"><i class="fa fa-check"></i><b>14.9</b> Results</a>
-<ul>
-<li class="chapter" data-level="14.9.1" data-path="c14.html"><a href="c14.html#variable-importance"><i class="fa fa-check"></i><b>14.9.1</b> Variable importance</a></li>
-<li class="chapter" data-level="14.9.2" data-path="c14.html"><a href="c14.html#comparing-random-forest-to-regression"><i class="fa fa-check"></i><b>14.9.2</b> Comparing random forest to regression</a></li>
-</ul></li>
-<li class="chapter" data-level="14.10" data-path="c14.html"><a href="c14.html#conclusion-10"><i class="fa fa-check"></i><b>14.10</b> Conclusion</a></li>
+<li class="chapter" data-level="14.6" data-path="c14.html"><a href="c14.html#conclusion-10"><i class="fa fa-check"></i><b>14.6</b> Conclusion</a></li>
 </ul></li>
 <li class="chapter" data-level="15" data-path="c15.html"><a href="c15.html"><i class="fa fa-check"></i><b>15</b> Introducing data science tools to your education job</a>
 <ul>
@@ -685,7 +675,6 @@
 <li class="divider"></li>
 <li><a href="https://www.emilybovee.com/">Emily A. Bovee</a></li>
 <li><a href="https://ryanestrellado.com/">Ryan A. Estrellado</a></li>
-<li><a href="https://www.jessemaegan.com/">Jesse Mostipak</a></li>
 <li><a href="https://joshuamrosenberg.com/">Joshua M. Rosenberg</a></li>
 <li><a href="https://ivelasq.rbind.io/">Isabella C. Velásquez</a></li>
 <li><a href="https://github.com/rstudio/bookdown" target="blank">Published with bookdown</a></li>
@@ -750,7 +739,7 @@ <h1>Page not found</h1>
 "size": 2
 },
 "edit": {
-"link": "https://github.com/data-edu/data-science-in-education/edit/master/%s",
+"link": "https://github.com/data-edu/data-science-in-education/edit/main/%s",
 "text": "Edit"
 },
 "history": {