[minimaxir]

A slightly-off topic note:

There's often complaints on posts like these that adding Machine Learning to any HN submission title will result in instant upvotes.

Yesterday, I built a deep learning model which can predict the optimal time to submit a post to Hacker News to maximize point score, and also predict the general probability of hitting the front page. In the context of this post, incidentally, the title is too verbose; both the point potential and and prob of hitting the front page is higher if only using the second half (w/o the explicit "Machine Learning" invocation): http://i.imgur.com/5vOTTXo.png

[pen2l]

Is that Jupyter?

I'm kind of a python/ML newb, am curious to know: when doing ML stuff, do you guys usually do it interactively with Jupyter? The whole process of preprocessing, graphing, reducing dimensions, ML... do you prefer to do it one-by-one in Jupyter or Jupyter-like envrionment vs. just make one big python script? Just curious about common workflows.

[minimaxir]

Correct. For common workflows, see my post comparing Jupyter Notebooks and R Notebooks: http://minimaxir.com/2017/06/r-notebooks/

Never do data analysis in "one big Python script" if you value your sanity.