IEEE

Optimizing Tabular Vector-Borne Disease Surveillance with Machine Learning Classification Techniques

Abstract: Vector-borne diseases (VBDs) represent a critical global health challenge due to the rising incidence and potential for serious outcomes. This study aims to enhance VBD surveillance by ...
GitHub

Titanic Survival Prediction Using Machine Learning Classification Models

This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...
IEEE

Biased Random Forest For Dealing With the Class Imbalance Problem

Abstract: The class imbalance issue has been a persistent problem in machine learning that hinders the accurate predictive analysis of data in many real-world applications. The class imbalance problem ...