Getting started

[bchnge]

Hi team,

To get your system set up, check out
http://columbia-applied-data-science.github.io/homework/2012/12/20/computer-se

Linux is probably not necessary, but python package (anaconda CE) and the nltk module will be necessary, at the bare minimum.

For more general info, you can check out notes from my class: http://columbia-applied-data-science.github.io

To dos:

• Set up computers to use Git, Python
• Familiarize with Git commands for collaborating code

Once we take care of those, we can start structuring the data analysis.

[bchnge]

Hey all, can you guys reply thread what your email is (the one thats tied to github). Will also send out a Google calendar invitation for a biweekly meeting.

[freelancer-]

freelancer1@gmail.com username freelancer-

On Fri, May 31, 2013 at 7:40 PM, Ben Cheng notifications@github.com wrote:

Hey all, can you guys reply thread what your email is (the one thats tied to github). Will also send out a Google calendar invitation for a biweekly meeting.

— Reply to this email directly or view it on GitHubhttps://github.com/bcheng2490/YelpRecSys13/issues/2#issuecomment-18779098 .

[paulkim718]

paul.kim718@gmail.com

[mkhui]

mankhui88@gmail.com

[bchnge]

okay will add you guys to the competition team soon.

made additions to the dataProcess notebook-- specifically, some helper functions for tweaking and evaluating models.

[bchnge]

http://scikit-learn.org/stable/modules/ensemble.html

[bchnge]

for anyone who's still interested, made some major revisions.

and after some work, we're now no. 25 out of 200+ teams: http://www.kaggle.com/c/yelp-recsys-2013/leaderboard

whoo.