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lung-cancer-classification

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Lung Cancer Detection with SVM uses the Support Vector Machine algorithm to detect lung cancer from medical images and patient data. This project covers data preprocessing, feature extraction, model training, and evaluation, aiming to provide a reliable tool for early detection and timely diagnosis.

  • Updated Jun 19, 2024
  • Python

The goal of this project was to develop a cloud-based lung cancer classification machine learning model. To this end, 3 different lung cancer datasets were concatenated and combined along common genes. The features from this data set were analyzed using a Random Forest classifier to determine feature importance. The feature importances were eval…

  • Updated Jul 15, 2020
  • Jupyter Notebook

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