Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
Understanding and modelling course evaluation scores in higher education programs is crucial for enhancing and improving student experience and program outputs. This study investigates the influence ...
Abstract: We propose a novel post-processing approach for the local optimization of Locally Optimized RANdom SAmple Consensus (LO-RANSAC), called the Multi-Estimation-based Parameter Centroid (MEPC) ...
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).
1 Boone Pickens School of Geology, Oklahoma State University, Stillwater, OK 74078, USA. 2 Division of Environment and Earth Science, Centre for Energy Research and Development (CERD), Obafemi Awolowo ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...