DATA SCIENCE: How machine learning can help a restaurant increase customer traffic

I live in the Outer Sunset, a neighborhood in SF with tons of mom and pop Asian restaurants. Many of these restaurants are extremely tasty but may not be able to compete against restaurants that have larger marketing spends or smarter social media presence. This project was an attempt to help such restaurants focus their limited resources in a smarter way.

Hypothesis: The number of “check-ins” at a restaurant has a relationship with various attributes of the restaurant’s profile. 

Data:

Technologies Used: 

  • Jupyter
  • Pandas
  • Numpy
  • Sklearn
  • Statsmodels

Full Report: https://docs.google.com/presentation/d/1-pyb9aULS9xuFMswVUQ_8P9gTSsWMMisT_5btSvznJo/edit#slide=id.g251697e114_0_82

Github Repo: https://github.com/manulohiya/checkin-predictor