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This presentation provides an in-depth analysis of diabetes data through various stages, including data preprocessing, modeling, and image-based analysis. It highlights the importance of AI in healthcare, demonstrating Random Forest modeling and visualization of key findings. Insights from dataset attributes, contributors, and project objectives are shared, emphasizing the significance of accurate predictions for diabetes management. Concluding with high-performing models and future...