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

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

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

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

Analyzing 200 GB of NYC taxi dataset.

A in-memory applications using Spark.

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.…

Predict NYC taxi travel times (Kaggle competition)

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

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.

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

taxi-demand prediction model using deep learning

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

Preprocessing TaxiNYC Data

Practice Programs of JAVABRAINS

DevCon5 Community Meet up

🚕 Predicting NYC Taxi Trip Duration with machine learning.

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)

⛏️ Notebooks for data analysis, classification & clustering