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This is a brief Insights on causes of flight delay based on Viz and implementation of Airline carrier ranking system based on data of flights to and from Texas ( Bureau of Transportation ) during Jan 2017. Using PandaSQL ( SQL+ Python)
This is an assignment to work on publicly available dataset called US commercial passenger carrier flights. This assignment is about predicting delays.
This project shows the amount of delays, on time and early flights Skywest airlines had in the year of 2009. Used Pandas, Tableau, SQLalchemy, machine learning model, and Postgres.
This project uses the RITA dataset by the U.S. Bureau of Transportation Statistics to analyse the different causes of airline delays across +1.9M of different flights.
This project is a comprehensive Power BI dashboard analyzing airport operations, focusing on flight delays, time analysis, and detailed flight information to improve efficiency and passenger satisfaction.
Analyzing United flight data that contains airline, airport, and weather information from 2019 to build a flight delay predictor, using various supervised learning methods.