116 results for “topic:airlines”
:airplane: Unofficial SDK for FlightRadar24 for Python 3 and NodeJS
Airline IATA codes JSON File
Main API Flight Git Repository
The complete repository for aviation APIs.
REST microservice for openflights airports and airlines data
Airline Application using Springboot, java, html, javascript and css
✈️ This script contains tools to scrape info about flights, airports, departures of an airport and more...
Python airline/flights data crawler
Monthly air passengers and landings at San Francisco International Airport (SFO)
Flai is virtual platform for developing and comparing reinforcement learning algorithms for travel
Using machine learning in the aircraft maintenance industry
The Glider Aggregator back-end service forwards shopping and booking requests received from the Winding Tree marketplace to Airlines and Hotels, using NDC and OTA-XML APIs.
Travelpayouts (Aviasales) data files with query interface **NO LONGER MAINTAINED**
airlines management system
A command-line tool and API for retrieving scheduled and historical flight data and generating Endless ATC airline configurations.
I used NLP to topic model airline tweets of four major airlines over a two week period. I made an interactive app to share my results!
Simple way to check the SV ban list - Be sure to 🌟 this repository for updates!
Implemented Classification and Clustering models using Spark MLlib on Airlines Data.
This Hadoop project involves analysing the airline datasets to solve a few problem statements.
Quickly scrape flight information from a variety of airlines. Built with Python requests.
ETL Pipeline to analyze Flight Departures (domestic) in the U.S. in 2022. Questions about flight delays, whether influence, airlines reliability.
Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.
No description provided.
A blockchain application built for the EVM (Ethereum Virtual Machine). The application helps manage flight insurance for both airlines and passengers.
Pegasus Airlines Unofficial API client written in .NET Standard 2.0
This is a binary classification problem, The goal is to predict which of the two levels of satisfaction with the airline the passenger belongs to: Satisfaction, Neutral or dissatisfied
REST API for airline information including IATA/ICAO codes, fleet data, and home airports. Search 1,000+ airlines worldwide.
Multi-purpose airline pilot aviation web app
İzmir tecnology intern project
A Jupyter Notebook to analyze revenue per seat mile of US commercial airlines