Machine Learning, Xgboost, Financial Data, Model Selection.
978–1–492–07305–5. I recommend reading it. It has succinct and useful descriptions of common techniques in ML, especially for the financial domain. The first step is to create a Python list, and then append each of our candidate classifiers to it. Next, we set parameter values, like n_folds and