Using a labelled data set (Wisconsin breast cancer diagnostic data) of cancer patients and the various attributes of a cell such as radius, texture, area, perimeter etc, a model was trained to predict the possibility of a cell being cancerous using Logistic Regression and K-fold cross validation.
Project link: https://github.com/aarthishankar/Breast-cancer-Prediction