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 ...
C&EN

Rock Deformation Failure Characteristics and Mechanics Parameters Modeling of Buqu Formation in Xiangyanghu Area, Qiangtang Basin, Tibet

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, ...
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

Role of artificial intelligence in enhancing competency assessment and transforming curriculum in higher vocational education

The study investigates the competency assessment outcome of AI-driven training, student engagement, and demographic factors. Previous studies have examined these factors individually, but this ...
marktechpost

Step by Step Guide on Converting Text to High-Quality Audio Using an Open Source TTS Model on Hugging Face: Including Detailed Audio File Analysis and Diagnostic Tools in Python

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face. Leveraging the capabilities of the ...
IEEE

An Efficient Approach to Improve Diagnostic Accuracy into Findings of Breast Cancerous Cells with SVM and Logistic Regression Models

Abstract: This paper consists of an in-depth analysis of two popular supervised learning techniques: Support Vector Machine (SVM) classifier and Logistic Regression. This work aims to demonstrate the ...
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 ...