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real-world-ml-project

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igopalakrishna / colorectal-cancer-prediction

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Full-stack MLOps pipeline for predicting colorectal cancer patient survival using Gradient Boosting, Kubeflow Pipelines, MLflow, and Flask. Designed for hospitals, researchers, and real-world healthcare applications.

docker kubernetes classifier flask data-science machine-learning ai feature-selection healthcare survival-analysis gradient-boosting kubeflow mlops cancer-prediction kubeflow-pipelines medical-ai end-to-end-pipeline dagshub real-world-ml-project
  • Updated Apr 9, 2025
  • Jupyter Notebook

asghar-rizvi / Health-Risk-Prediction-Platform-with-Flask-and-Machine-Learning

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A Health Risk Prediction Platform using Flask and machine learning to predict heart attacks, kidney disease, liver disease, and diabetes. Features a user-friendly interface with HTML, CSS, and JavaScript, along with secure authentication, encrypted passwords, and session management. MySQL is used for database operations, achieving 98% model accurac

javascript css python html flask website machine-learning frontend backend datascience webdevelopment data-science-projects data-science-machine-learning doctor-machine-learning real-world-ml-project
  • Updated Nov 22, 2024
  • Jupyter Notebook

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