Schiphol, the Netherlands, 13 February 2018 — We look back on a very successful, two-day hackathon for Transavia’s data fleet. Twelve data scientists, spread over four teams, hacked away on the same data set, while each team focused on different aspects of the data science process: data visualisation, feature engineering, machine learning, and designing a prediction API.
Unlike most hackathons, this one was not set up as a competition. Instead, the goal was to inspire yourself and others, hone your Python and data science skills, and, most importantly, have fun. All we can say is that everybody easily achieved that goal!
Throughout the hackathon, we held mini workshops of 30 minutes about specific topics such as: Jupyter Notebook, manipulating data with Pandas, visualising data with Python, and designing RESTful APIs using Flask. This way, we achieved a good balance between figuring something out yourself through hacking and quickly becoming acquainted with a topic or package through training.