- I got this project from the DataCamp. The objective is to predict the locations and times to maximize fares can be earned.
- The dataset used in this project is a sample from the complete 2013 NYC taxi data, which was originally obtained and published by Chris Whong.
- This project using regression trees and random forests methods.
- Programming R (dpldplyr, ggplot2 and randomForests)
-
Notifications
You must be signed in to change notification settings - Fork 0
urachachtrph/Predict-Taxi-Fares-with-Random-Forests
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published