The company's pricing strategy is grabbing headlines at a time affordability has become a major issue for U.S. consumers. Explore the entire Law.com network. Enjoy free access to one article from the ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.

Before your next Dollar Tree run, check out these crucial tips and hidden gems to make the most of your money. From must-avoid items to secret scores, this guide reveals what’s really worth buying and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Abstract: This paper addresses the demand for automatic electrocardiogram (ECG) arrhythmia detection in clinical settings by proposing an Adaptive Tree Support Vector Machine (AT-SVM) algorithm, which ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

Abstract: Decision tree is a machine learning algorithm that can effectively predict student performance. However, the existing performance prediction models rarely analyze the impact of multiple ...