An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

This repository is associated with interpretable liquefaction potential assessment model. This model is developed by using XGBoost and SHAP. The CPT database was used to developed the model. This CPT ...

Abstract: The non-line-of-sight (NLOS) in ultrawide-band (UWB) wireless positioning systems in complex indoor environments is problematic. Therefore, in this study, a hybrid algorithm based on ...

Abstract: In this paper, we make a comparative study of the performance of three methods for predicting the power output of a photovoltaic installation: Decision Tree, Random Forest and XGBoost. We ...