Econometrician Explained: Roles, Methods, and Economic Impact

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Tech Xplore

Self-driving cars could prevent over 1 million road injuries across the US by 2035

Autonomous vehicles could dramatically reduce traffic accidents and injuries on U.S. roads. Drawing on historical data and ...
BMJ Open

Epidemiological characteristics of major respiratory infectious diseases in Baiyin, China, from 2014 to 2023: a descriptive epidemiological study

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
IEEE

Novel Predictive Factors to Boost Short-Term Electricity Demand Forecasting Using Machine Learning Models

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...
GitHub

DeltatTamimi/personal-finance-manager

A Flask-based REST API for managing personal finances with SQLite database, statistical analysis, and income forecasting using linear regression.
Frontiers

Global burden and forecast of infectious diseases attributable to drug use: evidence from GBD 2021

1 Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China 2 Clinical Medical College, Chengdu University of Traditional Chinese Medicine, Chengdu, China Background: Drug use is ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
IEEE

Sales Forecasting in Retail Using Random Forest Regression: A Case Study on Walmart

Abstract: Accurate sales forecasting is crucial for retail giants like Walmart to optimize inventory management, plan operations, and enhance customer satisfaction. This study aims to develop a robust ...