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mach

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This project is a Streamlit application designed to predict the effectiveness of a drug based on its name and the condition it treats. The application uses an XGBoost model to make these predictions. Note: The predictions are based on a simplified model and should be taken with caution. The model uses limited information and random values for many

  • Updated Aug 26, 2024
  • Jupyter Notebook

this project aims to detect the fetal head using image processing techniques in Python, leveraging the powerful libraries sklearn and skimage. The process involves several steps including noise reduction, edge detection, threshold filtering, skeletonization, center detection, and ellipse fitting to approximate the circumference of the fetal head.

  • Updated Jul 27, 2024
  • Python

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