These were split into categories and their correlation with hypertension in this cohort was assessed using multivariate logistic regression. Python with libraries Numpy, Pandas, Scipy, Statsmodels, ...

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 ...

This article presents a detailed analysis of an undergraduate physics laboratory experiment designed to determine the density of water using fundamental measurement techniques and data analysis ...

Rock mechanical properties are characterized by rock mechanics parameters, including elastic parameters such as elastic modulus and Poisson ratio and strength parameters such as compressive strength, ...

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 ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...

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 ...

For my Python compiler Nuitka, I use CPython as the oracle of what the correct behaviour is. I am running some tests that I used to clarify the behavior from decades ago, in this case I wanted to know ...

The purpose of the plot_distribution_linear_regression.html example is to present the distribution of the estimators in linear regression. The first part presents the distribution of the sample ...

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 ...