nyc-taxi-dataset
There are 8 repositories under nyc-taxi-dataset topic.
toddwschneider / nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
Language:R 1972aptx1231 / NYC-Dataset
Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data
filipyoo / nyc-taxi-analysis
Analyzing 200 GB of NYC taxi dataset.
Language:Jupyter Notebook 28yennanliu / NYC_Taxi_Pipeline
Design/Implement stream/batch architecture on NYC taxi data | #DE
Language:Scala 25Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS
Language:Jupyter Notebook 15- Language:Jupyter Notebook 13
bartk97 / NYC-Taxi-Anomaly-Detection
Final Project for the 'Machine Learning and Deep Learning' Course at AGH Doctoral School
Language:Jupyter Notebook 8pranshu1921 / Taxi-Demand-Prediction-NYC
A time-series, regression problem to find the number of pickups, given coordinates in NYC.
Language:Jupyter Notebook 7ankitAMD / 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 6- Language:Jupyter Notebook 6
vannizhang / nyc-cab-rides
Visualize millions of yellow cab data in New York City from July 2015 - June 2016
Language:JavaScript 6anushadatta / NYC-Taxi-Trip-Duration
🚕 Predicting NYC Taxi Trip Duration with machine learning.
Language:Jupyter Notebook 5MrKhan0747 / 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 4- Language:Python 4
walterwzhang / NYC-Taxi-2013-Data
Scripts to the build a balanced panel of the 2013 NYC Taxi Data
Language:R 4- Language:Jupyter Notebook 3
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 3errhythm / 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 2martinKindall / NYC-Taxi-Limousine-Data-Spark
NYC Taxi & Limousine Commission's open data with Spark Streaming 3.0.0
Language:Scala 2stefanrmmr / 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 2vlfom / nyc-taxi-data
Code for fetching, sampling, and analysis of NYC taxi data from TLC and Uber for 2009-2018
Language:Jupyter Notebook 2Zefty / NYC-Taxi-Tip-Predictions
NYC Taxi Tip Predictions | NYC Taxi & Limousine Commission Data
Language:HTML 2angelosps / Data-Mining
⛏️ Notebooks for data analysis, classification & clustering
Language:Jupyter Notebook 1ernestvmo / spatio-temporal-crime-prediction
Urban Computing 2021 Research Project @ Leiden University
Language:Jupyter Notebook 1- Language:Python 1
IanGross / NYC_Transportation_Weather_Study
Examine relationship between NYC weather and taxi data from 2016
Language:Jupyter Notebook 1s5745623 / NYC-Yellow-Taxi-Analysis
NYC Yellow Taxi Analysis
Language:HTML 1Shikhar97 / Spatial-Hotspot-Analysis
Spatial Hotspot Analysis on Geo-Spatial Data using Apache Spark and Scala
Language:Scala 1- Language:Scala 1
zishanfu / NYC-Traffic-Map
NYC Taxi Trip Traffic Map
Language:JavaScript 1exelero565 / Project_5
определить характеристики и с их помощью спрогнозировать длительность поездки такси
Language:Jupyter Notebook 0ishitaagl20 / NYC-Taxi_Trip_Prediction
Taxi Trip Duration Prediction Using the NYC Dataset
Language:Jupyter Notebook 0Srking501 / csc8101_coursework
A summative coursework for CSC8101 Engineering for AI
Language:Jupyter Notebook 0vahadruya / 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 0renanfmoises / 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:ShellShafakatArnob / 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
