Rectangling (Social) Network Data

Preparing data for link prediction

In this tutorial I will show you how we go from network data to a rectangular format that is suited for machine learning. Many things in the world are graphs (networks). For instance: real-life friendships, business interactions, links between websites and (digital) social networks. I find graphs (the formal name for networks) fascinating, and because I am also interested in machine learning and data engineering, the question naturally becomes: How do I get (social) network data into a rectangular structure for ML? [Read More]

Where to live in the Netherlands based on temperature XKCD style

After seeing a plot of best places to live in Spain and the USA based on the weather, I had to chime in and do the same thing for the Netherlands. The idea is simple, determine where you want to live based on your temperature preferences. First the end result: How to read this plot? In this xkcd comic we see that the topleft of the the graph represents “if you hate cold and hate heat”, if you go down from the topleft to the bottom left the winters get colder and ending in “if you love cold and hate heat”. [Read More]