Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Scientific Research Publishing

Machine Learning for Financial Risk Management: Modeling Time-Varying Factor Sensitivities Using Factor Variational Autoencoders ()

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Academician Zhang Tongyi's Chinese Version of 'Introduction to Materials Informatics: Basics of Machine Learning' Published

As a scholar in materials and mechanics, Academician Zhang Tongyi has made significant contributions to the development of ...
eLife

Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
DATAQUEST

Best AI courses for working professionals in India

Discover India’s top online AI and ML courses for working professionals. Learn from IITs, BITS, Great Lakes, UpGrad & more ...
Frontiers

Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning

Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...
Scientific Research Publishing

Hassan, S., & Bhuiyan, M. A. (2021). Probable Nexus between Methane and Air Pollution in Bangladesh Using Machine Learning and Geographically Weighted Regression Modeling ...

ABSTRACT: This study was carried out to determine the concentrations of gaseous air pollutants (CH4, PM2.5, PM10, CO2, CO, Cl2, NH3, SO2, NO2) and its multifaceted effects on human health in various ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Visual Studio Magazine

Linear Regression Using JavaScript

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...
IEEE

An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and Sustainability

Abstract: Global agriculture is facing major challenges such as food security, sustainable water management, and the preservation of natural resources. Water scarcity, exacerbated by climate change, ...
GitHub

RAVINDRAN-S/Linear-Regression-Project

This project uses machine learning algorithms to predict house prices based on various features using a dataset (like that from Kaggle). The workflow includes exploratory data analysis (EDA), ...