text: TITLE tl;dr: Gaussian Process Bayesian Optimization SUB The conundrum of the data scientist: we’ve cleaned the data, made the modeling assumptions and eagerly booted up sklearn; all that stands between us and Kaggle competition glory are these pesky hyperparameters. How do we choose them? CAPTION a red and white photo of a red and white fire hydrant