This project implements a Multiple Linear Regression machine learning model to predict house prices based on various property features. Unlike Simple Linear Regression, which uses only one independent ...

This repository provides model calculation code and an enalapril example dataset (ena.xlsx). The dataset contains 192 nonblank observations across six batches, including 24 designated CALA–CALD ...

Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

Briefly, using data from TCGA and PCAWG, we constructed multivariable linear regression models to associate gene expression with tumor WGD status while controlling for potential confounders including ...

Researchers have developed a machine learning algorithm that selects and tunes preconditioned linear solvers on the fly ...

Dropping low-correlation features can delete real signal. Learn why, see a Python demo, and use better feature selection: MI, ...

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...

A leakage-controlled study of 24 simulated cases found that machine learning could estimate prompt NOx in a hydrogen-enriched ...

Objective Hospital pharmacies operate under a persistent dilemma: ensuring uninterrupted access to essential medicines while ...