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 ...

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 ...

Copies of the rules of the following agency may be downloaded and viewed by clicking on the links next to each rule title. If after clicking on a rule link the rule does not appear on your screen try ...

High temperature oxidation and corrosion degradation mechanisms dictate the lifetime of materials critical to energy production. The combination of modeling and experimental approaches such as machine ...

Objective: This study aimed to determine spirometric norm values for the healthy Iranian adult population and compare them with established norm equations, specifically the GLI-Caucasian and Iranian ...

Abstract: The spread of false news via social and other media platforms is a major worry because it has the potential to cause significant harm to societies and nations. As a result, many academics ...

- This module demonstrates the use of **Polynomial Regression** for modeling non-linear relationships. - Polynomial regression is useful when data shows a **curved** trend that cannot be captured by ...

Hands-on machine learning projects with full implementation and datasets. Includes House Price Prediction, Spam Email Detection, and Customer Segmentation.

Abstract: The majority of real-world applications of machine learning employ supervised learning. With an input variable (x) and an outcome variable (y), supervised learning allows one to apply an ...