Project information
- Category: Machine Learning
- Client: USA NYC Company
- Project date: 01 Jan, 2023
- Project URL: www.github.com
Project Details
Get the data from: Click The Link For Collecting
Data - data
(2022-2023 data) The data used in the
attached datasets were collected and provided to the NYC Taxi and Limousine Commission (TLC)
Yellow Taxi: Yellow Medallion Taxicabs
These famous NYC yellow taxis provide transportation exclusively through street hails. The number of
taxicabs is limited by a finite number of medallions issued by the TLC. You access this mode of
transportation by standing in the street and hailing an available taxi with your hand. The pickups are
not pre-arranged.
For Hire Vehicles (FHVs)
A pre-arrangement with a dispatcher or limo company accesses FHV transportation. These FHVs are not
permitted to pick up passengers via street hails, as those rides are not considered
pre-arranged
Green Taxi: Street Hail Livery (SHL)
The SHL program will allow livery vehicle owners to license and outfit their vehicles with green
borough taxi branding, meters, credit card machines, and ultimately the right to accept street hails in
addition to pre-arranged rides.
FootNote:
In the given notebook we are considering only the yellow taxis for the time between 2022 -
2023
Time-series forecasting and Regression
- To find the number of pickups, given location coordinates (latitude and longitude), and time, in
the query region and surrounding regions.
To solve the above, we would use data collected in 2022 - 2023.
Performance Metrics
- rmse = mean squared error.
- mape = mean absolute percentage error.
- mae = mean absolute error.
- r2 = r2 score.