IEEE

Water Quality Prediction Using Random Forest Classifier: An Analysis of Chemical Attributes and Their Feature Importance

Abstract: This work focuses on the use of machine learning algorithms to estimate water quality based on several environmental variables including $\boldsymbol{p H}$, Iron, Nitrate, and other ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
GitHub

Hand-Drawn Shape Classifier

About Interactive hand-drawn shape classifier built from scratch using Python and NumPy. Implements Linear Perceptron and Logistic Regression algorithms with a real-time Gradio web interface.
IEEE

Shape Penalized Decision Forests for Imbalanced Data Classification

Abstract: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...