A predictive model to help Uber drivers make more money

⏰ 📓 Time series analysis of new york taxi data

Graph theory for car-pool problem

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)

Lab exercise of Advanced Topics in Database Systems course in NTUA regarding Map Reduce

Using NYC Taxi Data as a Predictor of Urban Air Quality

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

Project to predict the duration of a taxi trip in NYC.

Scripts to the build a balanced panel of the 2013 NYC Taxi Data

Partner api to order taxi service - kiwitaxi

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

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.

Map-Reduce jobs in python to get insightful information from NYC Taxi data

New York Taxi dataset analysis using Python

Spark Project to analyze which real taxi trips have potential return trips

This repository houses complete data science projects.

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

This is an analysis on NYC Parking Violations dataset using PySpark SparkSQL and Map Reduce to find some useful insights.