K-Means Clustering for a Supervised Problem

My friend Ed Bullen took a really interesting approach to this analysis here — haven’t fully gone through the code, but an interesting example of using k-means for a supervised problem, which I haven’t seen before.

https://pygot.wordpress.com/2016/08/13/simple-machine-learning-prediction-with-the-un-world-happiness-data-set/

One clap, two clap, three clap, forty?

By clapping more or less, you can signal to us which stories really stand out.