A predictive model to help Uber drivers make more money
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)
Graph theory for car-pool problem
⏰ 📓 Time series analysis of new york taxi data
Using NYC Taxi Data as a Predictor of Urban Air Quality
Project to predict the duration of a taxi trip in NYC.
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
Partner api to order taxi service - kiwitaxi
Create an animation from the NYC Taxi dataset
Develope a CNN-LSTM model with Multi-Head Attention mechanism model to Predict Taxi demand
Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
New York Taxi dataset analysis using Python
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
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
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