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sudeepdas / MLENS_1MILLION.ipynb.json
Created April 22, 2013 16:48
MOVIE RECOMMENDER Buiiding a python based recommendation system by wrangling the movieLens database with Pandas. MovieLens data is available at http://www.grouplens.org/node/73
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sudeepdas / README.md
Last active December 14, 2015 23:39
SF Movies Beta

A beta version of a Data Mining Project using Data on the locations of movies Shot in San Francisco from https://data.sfgov.org I have used Pyhton Pandas to clean and wrangle the data files, and the Google geocoding service to convert raw addresses to lat, lon. I use d3.js to plot a map of sf and the movie locations. Then I have used the RottenTomatoes api to pull up the poster of the movies (improvements required here) and I show a Google map StreetView upon mouseover on a movie location. This is work in progress ...