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🏥 AI-powered breast cancer classification using Logistic Regression with 95% accuracy. Features interactive Gradio web interface for real-time predictions on 30 diagnostic parameters from Wisconsin dataset. Includes comprehensive Jupyter notebooks for model training, evaluation metrics, and deployment-ready architecture for healthcare application.
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9
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docs: create comprehensive README with full project documentation
02e8f85View on GitHub[Feature] Add Gradio web interface for breast cancer prediction
541b7b4View on GitHub[Dependencies] Add requirements.txt without version constraints
be6f0fbView on GitHub[documentation] Add comprehensive Gradio tutorial and best practices
46ea0f6View on GitHub[feat] Add notebook for dataprocessing, model training and saving
d2b5c54View on GitHub[docs] Add comprehensive dataset learning guide with data science best practices
f9c223fView on GitHub[docs] Add the docs/logistic-regression-model.md - this file contains the content of linear regression algorithm - the main method use for this project
2694498View on GitHub