Comparative-Analysis-of-Machine-Learning-Models-for-Diabetes-Prediction

The primary objective of this project is to implement and evaluate multiple machine learning algorithms—specifically Logistic Regression, Decision Tree, Support Vector Machine (SVM), and Naïve Bayes—to predict the onset of diabetes based on clinical patient variables.