Taxi Vector - Moozonian

GitHub Repo https://github.com/BUILTNYU/BeijingTaxiVectorField

BUILTNYU/BeijingTaxiVectorField

No repository description available.

GitHub Repo https://github.com/NeoisDead/nyc-taxi-numpy-analysis

NeoisDead/nyc-taxi-numpy-analysis

Analyzed real-world NYC taxi ride data using NumPy to extract meaningful insights and perform high-performance numerical computations. Implemented vectorized operations to efficiently process large datasets and avoid traditional loop-based computations.

GitHub Repo https://github.com/pecheny/taxis

pecheny/taxis

Vector2D -> Vector<Axis2D, Float>. Generalizing axis-based vectors.

GitHub Repo https://github.com/DamainRamsajan/Mobile-Taxi-App

DamainRamsajan/Mobile-Taxi-App

An Uber like Taxi App built with React native, vector icons and AWS Amplify

GitHub Repo https://github.com/DavidSlayback/gym-po-taxi

DavidSlayback/gym-po-taxi

Partially-observable taxi environment, with internal vectorization

GitHub Repo https://github.com/milindksali/taxi-data-platform

milindksali/taxi-data-platform

NYC Taxi dataset containing millions of trip records including pickup locations, trip distances and fares. NumPy vectorized operations were used to process large trip datasets efficiently and extract statistical insights.

GitHub Repo https://github.com/ahmdmohamedd/Taxi-Ride-Duration-Prediction

ahmdmohamedd/Taxi-Ride-Duration-Prediction

A MATLAB system to predict taxi ride duration using regression models, including linear regression and support vector regression (SVR). The system processes a NYC taxi dataset, performs data scaling, and evaluates model performance with metrics like MAE, RMSE, and R².

GitHub Repo https://github.com/UniqueName2/PySpark-Vector-Auto-Regression

UniqueName2/PySpark-Vector-Auto-Regression

Vector Auto Regression on NYC Taxi data using PySpark - includes a Sequential and a Big Data approach

GitHub Repo https://github.com/sssssaweq/VectorTaxi

sssssaweq/VectorTaxi

No repository description available.

GitHub Repo https://github.com/harshsingh9151/nyc-taxi-numpy-analysis

harshsingh9151/nyc-taxi-numpy-analysis

This project analyzes 100k+ NYC taxi trips using NumPy for high-speed numerical processing. By leveraging vectorization and boolean indexing, I calculated a 32 mph average speed, identified 11,832 JFK drop-offs, and filtered 13,333 February rides. It demonstrates efficient data wrangling and feature engineering without slow Python loops.