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small-sample-learning

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This project builds an optimized ML framework for brain tumor detection using only basic libraries (NumPy, Pandas, Matplotlib). It implements SVM, MLP, XGBoost, KNN, and logistic regression, along with interpolation, rotation, folding, and HOG features, enabling accurate MRI analysis without advanced libraries.

  • Updated Mar 5, 2026

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