IEEE

ŶUGO: Enhancing Power Consumption Predictions in Data Centers through Combined Multiple Linear Regression and Gradient Boosting Techniques on Hypervisor Load

Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
WFAA8

Garland animal control captures 15-foot Python despite 'multiple strike attempts'

GARLAND, Texas — A 15-foot python that made "multiple strike attempts" was captured by a Garland Animal Control officer, the city said. Garland Animal Control recently responded to reports of a ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
GitHub

Afolabi-cyber/Multiple-Linear-Regression-with-Python

This project implements Multiple Linear Regression using Gradient Descent in pure Python (without external libraries like NumPy or Scikit-learn). The goal is to train a model that predicts an output ...
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...
Scientific Research Publishing

Plonsky, L. and Ghanbar, H. (2018) Multiple Regression in L2 Research: A Methodological Synthesis and Guide to Interpreting R2 Values. The Modern Language Journal, 102, 713-731.

ABSTRACT: The study examined the effectiveness of financial linkages on SMEs’ access to debt finance. The study was motivated by the importance of SMEs in economic development and employment creation ...
Frontiers

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

Background: The aim of the present study was to establish a predictive model to predict the peritoneal cancer index (PCI) preoperatively in patients with pseudomyxoma peritonei (PMP). Conclusion: This ...
C&EN

Evaluating the Suitability of Linear and Nonlinear Regression Approaches for the Langmuir Adsorption Model as Applied toward Biomass-Based Adsorbents: Testing Residuals and ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana, Lafayette, Louisiana 70504, United States ...
Frontiers

GLS estimation in python to forecast gross regional domestic product using generalized space–time autoregressive seemingly unrelated regression model

1 Department of Statistics, Faculty of Science and Agriculture Technology, Universitas Muhammadiyah Semarang, Semarang, Indonesia 2 Department of Data Sciences, Faculty of Science and Agriculture ...