Abstract: Brain Tumor is a significant health challenge, with early, precise detection crucial for improving patient outcomes. Traditional diagnostics methods depend on expert radiologists, leading to ...

This project demonstrates how a **Support Vector Machine (SVM)** classifier can be used to predict the **price range** of a mobile phone based on its specifications. The goal is not just to build a ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Kristy Ambrose has been writing professionally since 2010. She dabbles in various genres, but her favorites are fantasy and science fiction. She creates everything from fanfiction to serialized novels ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

📖 Project Overview This repository implements One-vs-Rest (OvR) and One-vs-One (OvO) strategies for multi-class classification, focusing on selecting the most important features to improve model ...

Abstract: Imbalanced multi-class datasets present significant challenges in classification tasks within machine learning. This study introduces a novel approach by integrating Twin SVM-OvA with the ...

Introduction: Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most prevalent neurodegenerative disorders, necessitating accurate diagnostic approaches for early detection and ...