Hack Airline Data with Math

Published: April 23, 2013

min read

Written by: H2O.ai Team

Last Thursday of the month, April 25, 2013, is here! It’s BigDataWeek.
Join us on our monthly open house and meet the artists and hackers behind H2O.
This time we are hacking the airline dataset!
“Have you ever been stuck in an airport because your flight was delayed or cancelled and wondered if you could have predicted it if you’d had more data? This is your chance to find out.
DataSets: Flight arrival and departure details for all commercial flights within the USA, from October 1987 to April 2008. This is a large dataset: there are nearly 120 million records in total, and takes up 1.6 gigabytes of space compressed and 12 gigabytes when uncompressed.
http://stat-computing.org/dataexpo/2009/
Also available: Airlines all years 1987-2008:
https://s3.amazonaws.com/h2o-airlines-unpacked/allyears.csv (12GB)”

H2O.ai Team

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.

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