Ecosyste.ms: Repos

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GitHub topics: nyc-taxi-dataset

Repositories

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: 1 day ago - Pushed: 2 days ago - Stars: 1 - Forks: 0

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: about 2 months ago - Pushed: over 1 year ago - Stars: 15 - Forks: 8

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: 2 months ago - Pushed: 2 months ago - Stars: 1,970 - Forks: 571

Srking501/csc8101_coursework

A summative coursework for CSC8101 Engineering for AI

Language: Jupyter Notebook - Size: 168 KB - Last synced: 3 months ago - Pushed: 3 months 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: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

yennanliu/NYC_Taxi_Pipeline

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

Language: Scala - Size: 5.08 MB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 25 - Forks: 10

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: 5 months ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 2

krizt9/Analysis-of-NYC-taxi-tips

Final thesis of the Master's programe at FER university, focused on applying big data technologies to analyse NYC taxi tips

Size: 33.6 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

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: 8 months ago - Pushed: over 3 years ago - Stars: 5 - Forks: 2

mariosker/advanced_topics_in_database_systems_2022-ntua 📦

Advanced Topics in Database Systems @ NTUA | 2022- 2023

Language: Python - Size: 1000 KB - Last synced: 9 months ago - Pushed: over 1 year 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: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

pietrocolombo/nyc-taxi-trip-duration Fork of carloradice/nyc-taxi-trip-duration

This project predicts the duration of taxi rides in the New York area.

Language: Jupyter Notebook - Size: 30.4 MB - Last synced: 10 months ago - Pushed: 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: 4 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

angelosps/Data-Mining

⛏️ Notebooks for data analysis, classification & clustering

Language: Jupyter Notebook - Size: 4.84 MB - Last synced: 11 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

Shikhar97/Spatial-Hotspot-Analysis

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

Language: Scala - Size: 631 KB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

cordero-c-perez/Projects

This repository houses complete data science projects.

Language: Jupyter Notebook - Size: 44.1 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0

MvMukesh/NYC-TaxiDemandPrediction

Case Study to predict Demand of Yellow Taxi in New York City at given location and at a given time interval.

Size: 18.6 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

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: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 1

ShafakatArnob/NYCTaxiFarePred-Extended Fork of 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: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

errhythm/NYCTaxiFarePred-Extended

Language: Jupyter Notebook - Size: 1020 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 2

errhythm/NYCTaxiFarePred

NYC Taxi Fare Prediction with XGBoost and LightGBM.

Language: Jupyter Notebook - Size: 532 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

renanfmoises/download-nyc-taxi-data-sh

This script downloads the NYC taxi trips dataset from the Taxi & Limousine Commission's website. The datasets are publicly available and the script acts as an easy way of retrieving the data.

Language: Shell - Size: 18.6 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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: about 1 month ago - Pushed: about 6 years ago - Stars: 6 - Forks: 2

aptx1231/NYC-Dataset

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

Size: 1000 Bytes - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 22 - Forks: 6

anushadatta/NYC-Taxi-Trip-Duration

🚕 Predicting NYC Taxi Trip Duration with machine learning.

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

ernestvmo/spatio-temporal-crime-prediction

Urban Computing 2021 Research Project @ Leiden University

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

underdoc-wang/NYCDatasetProcessing Fork of lynnpepin/NYCDatasetProcessing

Preprocessing TaxiNYC Data

Language: Python - Size: 94.7 KB - Last synced: 16 days ago - Pushed: over 4 years ago - Stars: 4 - 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: over 1 year ago - Pushed: about 6 years ago - Stars: 3 - Forks: 0

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: about 1 year ago - Pushed: over 5 years ago - Stars: 6 - Forks: 3

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: over 1 year ago - Pushed: about 4 years ago - Stars: 4 - Forks: 0

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: about 1 year ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 1