Not bad, but I'd rather have seen statsmodels[1] (which is more intuitive to use, and gives you more data, as well as methods for displaying it) than sklearn us

Not bad, but I'd rather have seen statsmodels[1] (which is more intuitive to use, and gives you more data, as well as methods for displaying it) than sklearn used for the library. I understand the choice given that it's "machine learning", but as the comments are demonstrating, the distinction's not actually that clear. [1] http://statsmodels.sourceforge.net/stable/gettingstarted.html http://statsmodels.sourceforge.net/stable/gettingstarted.htm...