Readme.txt

Problem:

This project aims to predict the estimated price of a ride and demand of a uber cab given the factors like distance of the ride, surge multipliers, pick-up and drop location, weather and wind conditions, traffic and time of the commute.

Aim:

Fascinated by how rideshare companies predict fares based on distance, surge, location, weather, traffic.
Curious about cab demand across Boston based on source and destination.

Dataset:

693071 rideshare bookings in Boston from 11/26/2018 to 12/18/2018.
57 features including time, cab type, geography, temperature, wind, weather.
In summary:

Motivated to analyze rideshare fare prediction and demand modeling.
Utilized dataset of 700k+ rideshare trips in Boston with various contextual features.