Waze Rider SF Pilot
A General Assembly Capstone Project - using machine learning techniques to conduct prediction and analysis of waze carpool. The programming language used was Python.
See my final presentation deck in PDF.
Check out the entired python code of income and commute choice for this project.
In this project, I'm trying to build machine learning models based on Kaggle and SMFTA's data: I came up with WAZE Rider San Francisco Pilot to study features of a carpool modelling and make prdedictions that could help the business. Waze is going the corporate route. Its Silicon Valley pilot is starting with more than 25,000 employees of select companies that schlep workers from city and the South Bay.
Kaggle Data - SFMTA Data
Commute choice: dataset about carpool desicions, e.g., drive alone, car share, shuttle, uber, public transportation Location: information about users location Income: total income