In my free time, I build machine learning models for a data science competition, numer.ai1. It is a fun community and a challenging dataset: stock market data is very noisy and, by its nature, has almost no signal left in it.

My current models combines genetic programming and neural networks. I use genetic programming to find and modify hyperparameters and engineer the features that go into the neural network.