Breast Cancer Diagnostic System (AI Data Preparation & Model Training)
Engineered a high-accuracy breast cancer detection system using Python and Scikit-learn. The scope of the project involved managing full data pipelines, including the preprocessing and cleaning of medical datasets to ensure data integrity for model training. I performed detailed data analysis and feature engineering using Pandas and Matplotlib to prepare the data for classification tasks. By implementing model optimization techniques, I achieved a 97% diagnostic accuracy rate, demonstrating a strong commitment to quality measures and data precision.