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.