Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data

Analyzing 200 GB of NYC taxi dataset.

Testing Boring SL with DuckDB

Stream/batch system with Hadoop, Spark on NYC taxi data | #DE

Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS

Predict NYC taxi travel times (Kaggle competition)

Final Project for the 'Machine Learning and Deep Learning' Course at AGH Doctoral School

A time-series, regression problem to find the number of pickups, given coordinates in NYC.

taxi-demand prediction model using deep learning

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook.…

Visualize millions of yellow cab data in New York City from July 2015 - June 2016

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

🚕 Predicting NYC Taxi Trip Duration with machine learning.

Preprocessing TaxiNYC 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

Python scripts to download, process, and analyze the New York City Taxi and Limousine Commission (TLC) Trip Record Data dataset

Given that a ton of open data available, an Analysis on the most relevant features that drive the house prices.

DevCon5 Community Meet up

Urban Computing 2021 Research Project @ Leiden University