What it does

Analyzes webscraped data from Airbnb in San Francisco to provide interesting metrics.

How I built it

PANDAS for data processing, TensorFlow for machine learning and price estimation, and NLTK for sentiment distribution.

Challenges I ran into

Shifting from django to github pages. Also learning how to use TensorFlow.

Accomplishments that I'm proud of


What I learned

Lots of new technologies, including a speedy front end development using Bootstrap!

What's next for AirBnbOptimizer

Expand past San Francisco.

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