A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
An AI-powered web application for detecting thyroid cancer from medical images using deep learning. This system analyzes thyroid ultrasound or pathology images and classifies them as Benign ...
The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
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