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 values, is ...

This repository implements the KNeighbors Regressor (KNN) model for predicting financial instrument prices such as stocks, ... Using gradient boosting techniques, it aims to capture patterns in price ...

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company ...

Objective quality measurement of a three-dimensional (3D) image is a challenging issue in various 3D visual applications. In this paper, we proposes a novel reduced-reference (RR) 3D quality ...