<p>If your only question / planned answer for the thread is "here is the code to upload a text file to h2o from your interface", then the question will be fine <em>on <a href="https://stackoverflow.com/">Stack Overflow</a></em>.  </p>

<p>On the other hand, if you want to talk about "the evaluation of data", that is on-topic here, even if code is appended.  There is certainly nothing wrong with having code (<code>R</code>, <code>SAS</code>, <code>Stata</code>, <code>MATLAB</code>, etc.) as part of a question or an answer.  My opinion has always been that what is important is what the OP needs explained, regardless of how the question is phrased.  If what the OP needs to know is about the machine learning, then it is best here, but if what they need to know is about the code, then it belongs on SO.  (If they need both, then it could be either, but we can defer to the OP.)  </p>

<p>Just try to make your questions <em>real questions about machine learning</em>, not primarily about code.  Also note that we are a pure Q&amp;A site; we don't really do tutorials.  However, if you want to put a tutorial together, that would be a good candidate for a CV blog post.  For more on the CV blog, see:  </p>

<ul>
<li><a href="https://stats.meta.stackexchange.com/q/870/7290">We are making the community blog</a></li>
<li><a href="https://stats.meta.stackexchange.com/q/1071/7290">Is there a way to make the blog more prominent? Should we?</a></li>
<li><a href="https://stats.meta.stackexchange.com/q/1109/7290">A call for participation on the Cross Validated Blog</a></li>
</ul>
