• Built a machine learning classification model to predict diabetes based on medical features.
• Performed data preprocessing including handling missing values, feature scaling, and encoding.
• Handled imbalanced data using appropriate techniques.
• Evaluated the model using Accuracy, Precision, Recall, Confusion Matrix and F1-Score.
• Achieved a good classification score on the dataset.