Data Science Hackathon

• What we'll do
Dear data enthusiasts,

Let's meet again for a hackathon and learn about data cleaning / wrangling.

In the past meetups, we have worked with clean and complete data. But in practise, this will not be the case. Datasets will have many missing values.

This hackathon focuses on the missing value problem. The provided data set misses many values. Your task is to hack the best classifier. At the end of the meetup, everyone presents his approach and we learn from eachother.

This meetup, we will be joined by Rianne Schouten, who did research in this area. She will introduce the problem and explain common approaches for this problem

Data will be provided in csv, so you can use any programming language or data science tool for this hackathon.

18:00 Doors open
18:15 Introduction to Missing Value Problem
18:45 Start hacking
20:30 Everyone shares his approach and we learn from eachother
21:00 Drinks
21:30 Doors close

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Location is the Energy Forum on the TU/e campus. See the attached screenshot. The main entrance is located at the blue arrow. When you enter the building, the Energy Forum is on your right, at the blue/red ellipse