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Neural-Network-Breast-Cancer-Classification

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? Advanced neural network for breast cancer classification using Wisconsin dataset. Analyzes cell nucleus characteristics from FNA samples to distinguish malignant/benign masses with 96.5% accuracy. Features comprehensive documentation, automated setup, testing framework, and deployment guides. Educational ML project with 15,000+ lines of docs.

Creat2025-07-31T08:50:47
Update2025-07-31T19:04:54
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