A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model ... exists when there is a linear relationship, or correlation, between ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

This study presents a valuable finding on how the locus coeruleus modulates the involvement of medial prefrontal cortex in set shifting using calcium imaging. The evidence supporting the claims was ...

Digital Literacy, Student Engagement, Communicative English Share and Cite: Fauzi, M. and Khalid, F. (2025) Evaluating the Effectiveness and Challenges of CIDOS LMS in Teaching Communicative English ...

Objectives To estimate the shape of the causal relationship between body mass index (BMI) and mortality risk in a Mendelian randomisation framework. Design Mendelian randomisation analyses of two ...

hay, which had crude protein (CP) content of 4.86% of dry matter ... used as independent variable for interpretation of the effects of treatments. The comparisons between treatments were conducted ...

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 ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Although [Vitor Fróis] is explaining linear regression because it relates to ... It is one way to use independent variables to predict dependent variables, and, in its simplest form, it is ...