Breast Cancer Project

Machine learning-based diagnostic classifier for breast cancer detection. Leveraging Scikit-learn and advanced data preprocessing to analyze medical datasets, ensuring high-accuracy diagnostic outcomes.

Tech Stack

What I Learned

Achieving high diagnostic accuracy required extensive feature selection and cross-validation to distinguish malignant from benign patterns without overfitting to noise in the medical dataset.