Data Science Project 6

Using machine learning algorithms, we aim to predict the risk of diabetes for individuals based on their health data. The predictive analysis will empower healthcare providers to proactively identify and intervene with at-risk patients.
Our project will also explore the potential of early-detection models that utilize patient data to identify the onset of diabetes at an early stage, allowing timely intervention and management. Our model outputs for better healthcare outcomes and improved patient well-being.

• Clean and preprocess the data to ensure accuracy and consistency.
• Engineer new features if necessary to enhance model performance.
• Develop machine learning models to predict the risk of diabetes to individuals
• Utilizing model predictions to provide personalized life-style and dietary recommendations for at-risk individuals
• Iterate and improve the models based on feedback and new data.