Selecting Optimal Parameters for XGBoost Model Training

(Andrejus Baranovskis) There is always a bit of luck involved when selecting parameters for Machine Learning model training. Lately, I work with gradient boosted trees and XGBoost in particular. We are using XGBoost in the enterprise to automate repetitive human tasks.

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