nyc-taxi-dataset | Topic | Ecosyste.ms: Repos

Topic: "nyc-taxi-dataset"

toddwschneider/nyc-taxi-data

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

Language: R - Size: 47.4 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2,028 - Forks: 568

yennanliu/NYC_Taxi_Pipeline

Design/Implement stream/batch architecture on NYC taxi data | #DE

Language: Scala - Size: 5.08 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 10

aptx1231/NYC-Dataset

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

Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 6

yennanliu/NYC_Taxi_Trip_Duration

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

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 8

rebeccak1/nyc-taxi

Predict NYC taxi travel times (Kaggle competition)

Language: Jupyter Notebook - Size: 4.18 MB - Last synced at: 10 months ago - Pushed at: over 7 years ago - Stars: 13 - Forks: 3

giallo41/taxi-demand

taxi-demand prediction model using deep learning

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 5 days ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 2

ankitAMD/NYTaxi_XG_Boost_Challenge-kaggle_challenge

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. i will also predict without Google colab on normal system.

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 3

vannizhang/nyc-cab-rides 📦

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

Language: JavaScript - Size: 1.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 2

lykmapipo/NYC-TLC-Trip-Data

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

Language: Jupyter Notebook - Size: 100 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 1

anushadatta/NYC-Taxi-Trip-Duration

🚕 Predicting NYC Taxi Trip Duration with machine learning.

Language: Jupyter Notebook - Size: 176 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

pranshu1921/Taxi-Demand-Prediction-NYC

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

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

walterwzhang/NYC-Taxi-2013-Data

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

Language: R - Size: 14.5 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

underdoc-wang/NYCDatasetProcessing Fork of lynnpepin/NYCDatasetProcessing

Preprocessing TaxiNYC Data

Language: Python - Size: 94.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

MrKhan0747/New-York-City-Taxi-Trips-Fare

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

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

farisology/DevCon5

DevCon5 Community Meet up

Language: Jupyter Notebook - Size: 97.8 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

HegdeChaitra/Study-on-Factors-influencing-NYC-Housing-Prices

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

Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 0

errhythm/NYCTaxiFarePred-Extended

NYC Taxi Fare Prediction with 7 models (Linear Regression, Random Forest, XGBoost, LightGBM, CatBoost, KNN, and Decision Tree) The models used range from simple linear regression to more complex ensemble methods such as boosting algorithms. The aim was to improve prediction accuracy and handle categorical features efficiently.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

stefanrmmr/cabmate_app Fork of NilsJacobsen/cabmate_app

Winning AI Project for TUM.ai Makeathon October 2021 (scored 1st place), REACT-based application that predicts estimated demands for taxi rides in NYC's districts (time series analytics)

Language: Jupyter Notebook - Size: 9.35 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

martinKindall/NYC-Taxi-Limousine-Data-Spark

NYC Taxi & Limousine Commission's open data with Spark Streaming 3.0.0

Language: Scala - Size: 43.9 KB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

Zefty/NYC-Taxi-Tip-Predictions

NYC Taxi Tip Predictions | NYC Taxi & Limousine Commission Data

Language: HTML - Size: 2.33 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

edwarddramirez/taxi-forecast

Forecast NYC taxi activity with deep learning. We compare the performances of models based on MLPs, RNNs, LSTMs, GNNs, and ARIMAX. Additionally, our code provides users with an easy-to-use pipeline for producing custom time series datasets of taxi activity from publicly available NYC TLC data.

Language: Jupyter Notebook - Size: 130 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

hechadielhassania/For-Hire-Vehicles-NYC-TLC-MERN-APP

This is a full-stack application built using the MERN stack and Vite for the frontend. The application displays information about For Hire Vehicles (FHV) in New York City using the Open Data API.

Language: JavaScript - Size: 18.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Shikhar97/Spatial-Hotspot-Analysis

Spatial Hotspot Analysis on Geo-Spatial Data using Apache Spark and Scala

Language: Scala - Size: 631 KB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

angelosps/Data-Mining

⛏️ Notebooks for data analysis, classification & clustering

Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

ernestvmo/spatio-temporal-crime-prediction

Urban Computing 2021 Research Project @ Leiden University

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

vlfom/nyc-taxi-data

Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

zishanfu/NYC-Traffic-Map

NYC Taxi Trip Traffic Map

Language: JavaScript - Size: 1.91 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

s5745623/NYC-Yellow-Taxi-Analysis

NYC Yellow Taxi Analysis

Language: HTML - Size: 147 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

zishanfu/NYC-Taxi-Trip-Analysis

A in-memory applications using Spark.

Language: Scala - Size: 706 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 3

IanGross/NYC_Transportation_Weather_Study

Examine relationship between NYC weather and taxi data from 2016

Language: Jupyter Notebook - Size: 68.1 MB - Last synced at: 8 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

pashitox/Automata_taxi_tip_classifier

Modelo de aprendizaje automático para predecir si un pasajero de taxi en NYC dejará una propina igual o mayor al 20%.

Language: Jupyter Notebook - Size: 6.91 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

ikml-bsrn/NYC_Taxi_Trip_Duration

A machine learning model predicting taxi trips duration in New York using relevant features from a dataset by NYC TLC and historical weather data using Open-Meteo API.

Language: Jupyter Notebook - Size: 116 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Ritikrb126/A-Data-Driven-Look-into-Yellow-Taxi-Operations-Jan-2023

"Data analysis of NYC Yellow Taxi operations using January 2023 TLC dataset – uncovers peak demand zones, payment trends, fare patterns, and operational issues using Python and Kaggle Notebook"

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Yasir-Arafah/NYC-Trip-Fare-Prediction-using-TCN

"NYC Trip Fare Prediction Using Temporal Convolutional Networks (TCN)" is a Data Analytics Project where the trip and fare data of NYC taxi are combined and then analyzed using Pyspark and visualized using Matplotlib library. The project predicts the fare by using Temporal Convolutional Neural Network.

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hetshah13/City_Cab_Insights

Language: Jupyter Notebook - Size: 140 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ishitaagl20/NYC-Taxi_Trip_Prediction

Taxi Trip Duration Prediction Using the NYC Dataset

Language: Jupyter Notebook - Size: 7.95 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Srking501/csc8101_coursework

A summative coursework for CSC8101 Engineering for AI

Language: Jupyter Notebook - Size: 168 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sana0124/Linear-Regression

Linear regression-Assignment on different datasets

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

exelero565/Project_5

определить характеристики и с их помощью спрогнозировать длительность поездки такси

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cnatsis/tlc-nyc-trip-data-collector

TLC Trip Record Data Collector

Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

martinKindall/fromPubSubToLocalKafka

Using Java to consume data from Google Cloud new york taxi tycoon topic, and send it to an on Premises Kafka topic.

Language: Java - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0