Parul Pandey parulnith

Movies Recommendation:

MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

How to write a reproducible example.

You are most likely to get good help with your R problem if you provide a reproducible example. A reproducible example allows someone else to recreate your problem by just copying and pasting R code.

There are four things you need to include to make your example reproducible: required packages, data, code, and a description of your R environment.

Packages should be loaded at the top of the script, so it's easy to see which ones the example needs.
The easiest way to include data in an email is to use dput() to generate

	import tweepy
	import csv
	import pandas as pd
	import sys

	# API credentials here
	consumer_key = 'INSERT CONSUMER KEY HERE'
	consumer_secret = 'INSERT CONSUMER SECRET HERE'
	access_token = 'INSERT ACCESS TOKEN HERE'
	access_token_secret = 'INSERT ACCESS TOKEN SECRET HERE'

	import tweepy
	import csv
	import pandas as pd
	####input your credentials here
	consumer_key = ''
	consumer_secret = ''
	access_token = ''
	access_token_secret = ''

	auth = tweepy.OAuthHandler(consumer_key, consumer_secret)