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python-web-app

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An end-to-end machine learning project predicting diabetes risk. Compares SVC, Random Forest, and Logistic Regression on the Pima Indians dataset, selecting the top-performing SVC model (73.4% test accuracy). Deployed via an interactive Streamlit dashboard featuring robust input scaling and real-time classification results.

  • Updated Jul 10, 2026
  • Python

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