An example Python machine learning notebook for newcomers
1–10 of 17 posts
Re: An example Python machine learning notebook for newcomers
#2Re: An example Python machine learning notebook for newcomers
#3Link to notebook on IPython Notebook Viewer: http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and...
Re: An example Python machine learning notebook for newcomers
#4Link to notebook on IPython Notebook Viewer: http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and...
serious question - now that github natively supports ipython is there any reason to link to nbviewer ?
Re: An example Python machine learning notebook for newcomers
#5Earlier quoted context omitted.
serious question - now that github natively supports ipython is there any reason to link to nbviewer ?
The GitHub rendering engine for Ipython notebooks does not support mobile devices (oddly) and it does not support custom CSS/plugins, although this notebook does not utilize any of the latter.
Re: An example Python machine learning notebook for newcomers
#6Link to notebook on IPython Notebook Viewer: http://nbviewer.ipython.org/github/rhiever/Data-Analysis-and...
serious question - now that github natively supports ipython is there any reason to link to nbviewer ?
Re: An example Python machine learning notebook for newcomers
#7Re: An example Python machine learning notebook for newcomers
#8Earlier quoted context omitted.
serious question - now that github natively supports ipython is there any reason to link to nbviewer ?
The native GitHub IPython Notebook viewer also doesn't support within-notebook linking, which can be fairly annoying when you spend an hour putting together a nice table of contents system.
Re: An example Python machine learning notebook for newcomers
#9Re: An example Python machine learning notebook for newcomers
#10I love iPython notebook, I can run the entire back-end on our cluster while working with terabytes of data on my laptop tethered to my phone from a moving train (as we speak ;)).
Edit: Now using your code directly on my own data, I'm learning a lot, a big thanks to Randal S. Olson!!