Using NYC Taxi Data as a Predictor of Urban Air Quality
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Updated
Sep 7, 2016 - Python
Using NYC Taxi Data as a Predictor of Urban Air Quality
Partner api to order taxi service - kiwitaxi
A predictive model to help Uber drivers make more money
⏰ 📓 Time series analysis of new york taxi data
Graph theory for car-pool problem
Map-Reduce jobs in python to get insightful information from NYC Taxi data
In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff
Scripts to the build a balanced panel of the 2013 NYC Taxi Data
Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
Create an animation from the NYC Taxi dataset
Codes and data for a published work "Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series" (https://doi.org/10.1016/j.compenvurbsys.2021.101627)
About In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 8 features along with GPS coordinates of pickup and dropoff
New York Taxi dataset analysis using Python
Used Python to draw interactive bar chart and piechart with NYC taxi data
Scenario creation for amodeus taxi scenarios, initially private, eventually public
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