Diabetes Prediction System

This project focuses on building a machine learning system to predict whether a person has diabetes using medical data.

The system was implemented in Python, where the dataset was preprocessed and analyzed before training a Support Vector Machine (SVM) classifier. The model performance was evaluated using standard classification metrics.

Key steps in this project include:

- Data preprocessing and feature scaling

- Training a Support Vector Machine (SVM) model

- Model evaluation using accuracy score and classification metrics

- Making predictions on new patient data

This project demonstrates my understanding of supervised machine learning techniques and my ability to apply SVM models to real-world healthcare prediction problems.