Data Science Capstone: Breast Cancer Prediction
Classification of benign and malignant breast tumors by ML algorithms
This was my capstone project for the HarvardX Data Science Professional Certificate. It demonstrates competency in R programming, statstical modeling and basic machine learning.
The goal of this study was to train a machine learning classifier to predict whether a breast tumor is malignant (cancer) or benign (not cancer) based on cell nucleus features extracted from digitized images of breast biopsy slides. It makes use of the Breast Cancer Wisconsin Diagnostic Data Set, a classic machine learning benchmarking dataset. Results and implications are analyzed from the perspective of a cancer biologist.
