Scientific Research Publishing

Hourly Soil Temperature Variability and Estimation at Multiple Depths from Meteorological Data Using Multiple Linear Regression in a Tropical Semi-Arid Region of Burkina Faso ()

Laboratoire de Matériaux et Environnement (LAME), Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
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 ...
Frontiers

Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method

1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...
Frontiers

Using short-read 16S rRNA sequencing of multiple variable regions to generate high-quality results to a species level

Introduction: Short-read amplicon sequencing studies have typically focused on 1-2 variable regions of the 16S rRNA gene. Species-level resolution is limited in these studies, as each variable region ...
GitHub

Multiple Linear Regression in Statsmodels

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...
IEEE

Predicting Teaching Effectiveness of University Faculty using Multiple Linear Regression

Abstract: This study utilized multiple linear regressions to measure and predict the teaching effectiveness of university faculty. The researchers also utilized Knowledge Discovery in Databases and ...
usace.army.mil

STRYKER READY

Using machine learning to forecast maintenance readiness at the frontline unit level. The Army’s current model to determine future equipment readiness levels falls short of enabling command ...