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cancer-diagnosis

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Utilizing SVM for breast cancer classification, this project compares model performance before and after hyperparameter tuning using GridSearchCV. Evaluation metrics like classification report showcase the effectiveness of the optimized model.

  • Updated Feb 14, 2024
  • Python

In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.

  • Updated Jul 10, 2021
  • Jupyter Notebook
Breast-Cancer-Detection-Using-Machine-Learning

Breast cancer is one of the most common types of cancer among women, with early detection being crucial for effective treatment and survival. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

  • Updated Jan 18, 2025

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