https://datasciencela.github.io/tag/caret/Recent content in caret on DataScience.LAHugo -- gohugo.ioen-usDataScience.LA, 2014–2021 · Read-only archive: comments are closed.Mon, 25 Aug 2014 19:23:29 -0700https://datasciencela.github.io/max-kuhn-on-caret/Mon, 11 Aug 2014 10:02:40 -0700https://datasciencela.github.io/max-kuhn-on-caret/<p>We&rsquo;ve made a lot of the same mistakes, and we want to protect people from doing them</p>https://datasciencela.github.io/a-conversation-with-max-kuhn-the-user-2014-interview/Mon, 11 Aug 2014 10:02:16 -0700https://datasciencela.github.io/a-conversation-with-max-kuhn-the-user-2014-interview/<h4 class="relative group">The Interview <div id="the-interview" class="anchor"></div> <span class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"> <a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#the-interview" aria-label="Anchor">#</a> </span> </h4> <p>In the video above, Max provides some amazing insights into the why and how of caret, an R package he created. He also discusses his book on <a href="http://appliedpredictivemodeling.com">Applied Predictive Modeling</a> which he co-authored with Kjell Johnson, including details on how he set out to write the book he wished he would have had. As a special bonus, Max also describes <a href="http://en.wikipedia.org/wiki/Ross_Quinlan">Quinlan&rsquo;s</a> <a href="http://en.wikipedia.org/wiki/Ross_Quinlan#C5.0">C5.0</a>, an alternate &ldquo;forest of decision trees&rdquo; algorithm, the secrets of which were hidden behind commercial licensing for years - and which has recently been ported and made available to the R ecosystem. Whether you are a beginner just getting your feet wet with R and predictive modeling, or a seasoned data scientist, this interview has something for everyone.</p>