Project to predict the duration of a taxi trip in NYC.
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Updated
Jan 22, 2024 - Jupyter Notebook
Project to predict the duration of a taxi trip in NYC.
Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.
Taxi analysis for the New York City area with a focus on Manhattan
🚕 M.EIC 2021/2022 - 1ˢᵗ year/ 2ⁿᵈ semester
This repository houses complete data science projects.
Scenario creation for amodeus taxi scenarios, initially private, eventually public
Used Python to draw interactive bar chart and piechart with NYC taxi data
New York Taxi dataset analysis using Python
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
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)
Create an animation from the NYC Taxi dataset
Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
Scripts to the build a balanced panel of the 2013 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
Map-Reduce jobs in python to get insightful information from NYC Taxi data
Graph theory for car-pool problem
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