How-To Geek on MSN

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

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
BMJ Open

Analysis of risk factors associated with metabolic-associated fatty liver disease from Suzhong Region, China: a cross-sectional study

Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...
IEEE

A Comprehensive Machine Learning Approach for Wild Fire Detection and Classification Using Squeezenet and Ridge Regularized Logistic Regression

Abstract: Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a ...
IEEE

Impacts of Symbolic Regression-Integrated Physics Classes on Students' Perceptions of Using Machine Learning in Science

Abstract: This study explores the design and implementation of symbolic regression (SR)-integrated physics classes (SRPC) to encourage students to actively engage in scientific discovery using ...