How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
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 ()

Accurate estimation of soil temperature is essential for understanding land–atmosphere interactions and supporting agricultural management in semi-arid regions. This study focuses on the analysis of ...
GitHub

SarahRoWo/Logistic_Regression_Python_MI_Paper

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...
Frontiers

Genetic and codon usage analyses reveal the evolution of the seoul virus

1 School of Public Health, Hebei Medical University, Shijiazhuang, Hebei, China 2 Institute for Viral Disease Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, ...
Frontiers

Monitoring of the trough concentration of valproic acid in pediatric epilepsy patients: a machine learning-based ensemble model

Aims: Few personalized monitoring models for valproic acid (VPA) in pediatric epilepsy patients (PEPs) incorporate machine learning (ML) algorithms. This study aimed to develop an ensemble ML model ...
GitHub

Python package with a class that allows pipeline-like specification and execution of regression workflows.

Extensive guide is given in the Jupyter notebook "Rapid-specification-of-regression-workflows.ipynb" and the corresponding Markdown document "Rapid-specification-of-regression-workflows.md". data ...