This project implements a fully automated pipeline for solving the credit scoring task based on an ensemble of six CatBoost models, optimized for hyperparameters with Optuna. For practical application ...

We would like to express our sincere gratitude to the following organizations for their support and contributions to this project: ...

Abstract: This article explores short-term solar power generation forecasting using machine learning techniques. Catboost, a machine learning method capable of handling categorical data and missing ...

Abstract: Residential buildings are major contributors to global energy consumption, with cooling and heating loads representing a substantial portion of this demand. Accurate estimation of these ...