Skip to content

Creating a model to predict the trip duration of a cab, for a given pickup and drop off coordinates in the city at various times of the year

License

Notifications You must be signed in to change notification settings

SandeepGunda/trip-duration-prediction

Repository files navigation

Trip Duration Prediction

Introduction

This is a project to determine the duration a taxi would take between 2 points in a city, depending on the date, time, pickup and dropoff coordinates. This is a problem which cab aggregators like Uber, Lyft, etc. try to solve for efficient pricing of the trips and determining when a cab would be available to pick up the next customer.

Data

The dataset consisted of 5 independent variables and 1 response variable.

  1. Independent variables:
  • pickup_datetime: Timestamp of pickup
  • pickup_x, pickup_y, dropoff_x, dropoff_y: Pickup and Dropoff coordinates
  1. Response variable:
  • duration: Duration of the trip

Data Exploration

The data exploration consisted of investigating the concerntration of the trips across the total region, their distribution among different weekdays and times, and any influence due to holidays or seasons.

About

Creating a model to predict the trip duration of a cab, for a given pickup and drop off coordinates in the city at various times of the year

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages