Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
TechRepublic

10 Clever Microsoft Excel Tricks to Use in 2026

Excel has outlasted many tech trends, and in the age of AI, it remains very much in the mix. While new platforms promise automation and out-of-the-box intelligence, many teams continue to rely on ...
IEEE

Forecasting Obesity and Customized Nutrition Planning using KNN and Linear Regression Models for Higher Accuracy

Abstract: This study deals with the various contributors of obesity through the use of advanced ML algorithms are KNN and linear regression. These KNN and linear regression algorithms help to ...
Scientific Research Publishing

Hope, T. M. H. (2020). Linear Regression. In A. Mechelli, & S. Vieira (Eds.), Machine Learning (pp. 67-81). Elsevier.

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
GitHub

Forecasting time series data using gradient boosting method

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...
IEEE

Forecasting Future Sales Using Linear Regression Approach

Abstract: In this age of digital information, theoretical data generation has grown to a level that no person can handle. Thus, several machine learning models are available. Therefore, our aim is to ...
Scientific Research Publishing

Figura, S., Livingstone, D.M. and Kipfer, R. (2014) Forecasting Groundwater Temperature with Linear Regression Models Using Historical Data. Groundwater, 53, 943-954.

ABSTRACT: Groundwater recharge (GR) is one of the most important processes of the hydrologic cycle, especially in urbanizing regions where land use and climate variability are interacting in a very ...
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, ...
Frontiers

Forecasting sea level rise using enhanced deep learning models

Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse gas emissions accelerating global Sea Level Rise (SLR), threatening coastal ...