Inspiration

I wanted to use what I learned in econometrics and build a model to predict what people want to eat. The name is a homage to Alexis Ohanian. Full story here: https://medium.com/@Stoic.Sleeper/uncharted-yelp-dataset-edition-78a457735e6b#.ym8ey2d3h

What it does

Currently, all it does is store what you ate and what you would rate it. I still am unsure of how to go about deciphering the Yelp dataset and building a model. I experimented a little using Python and Yelp's MapReduce package on the dataset through the use of AWS EMR. Got a nice basic understanding of what the package does and can find word counts/etc. Not sure where to go from here. For future explorations...

How I built it

Swift

Accomplishments that I'm proud of

Made ma first native iOS app

What I learned

I am still very n00b

What's next for MMM

Actually build a decent model using regression and whatnot, hooking up to Yelp API to suggest restaurants, actually making good use of AWS EMR instead of just running simple scripts like word_count.py on it

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