This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

The demand for vaccines is significantly increasing in various countries due to heightened population mobility and the prevalence of epidemics. This study employed machine learning methods to predict ...

The focus of this analysis is on methods and approaches for forecasting time series data with linear regression, including methods for decomposing and forecasting the series components (for example ...

Linear regression can also be used to analyze the effect of pricing on consumer behavior. For instance, if a company changes the price on a certain product several times, it can record the ...

For more information on this research see: Comparison and Analysis of the Effectiveness of Linear Regression, Decision Tree, and Random Forest Models for Health Insurance Premium Forecasting.

You can get standalone financial forecasting software, such as Anaplan. However, some businesses prefer to choose more versatile software that includes financial forecasting as well as other features.

For example, Beutel et al. [9] considered the factors influencing consumer demand forecasting and used the optimization of the target inventory function using linear programming with variables under ...

In recent years, the direction of numerical forecasts has been actively developed, based on the analysis and processing of observational data from previous periods in order to identify patterns of ...