A machine learning project for diagnosing hyperthyroidism using thyroid function test data, symptoms, and medical history. Applied Multinomial Naive Bayes, SVM, Random Forest, and MLP classifiers with data cleaning, visualizations, and model evaluation to enhance medical diagnostics and support clinical decision-making.