Breast-Cancer-Prediction-Machine-Learning-App
dyneth02
A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.
Growth over time
3 data points · 2026-04-09 → 2026-04-24How do you feel about this project?
Ask AI about Breast-Cancer-Prediction-Machine-Learning-App
Question copied to clipboardWhat is the dyneth02/Breast-Cancer-Prediction-Machine-Learning-App GitHub project? Description: "A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
Question is copied to clipboard — paste it after the AI opens.
How to clone Breast-Cancer-Prediction-Machine-Learning-App
Clone via HTTPS
Clone via SSH
Download ZIP
Download master.zipFound an issue?
Report bugs or request features on the Breast-Cancer-Prediction-Machine-Learning-App issue tracker:
Open GitHub Issues