Pinned Repositories
ML.breast-cancer-predictor-rep
This Breast Cancer Prediction project uses Logistic Regression to classify tumors as benign or malignant based on the Breast Cancer Wisconsin Dataset. With an accuracy of 65%, the model aims to aid early detection. An interactive Jupyter Notebook allows users to input data and receive predictions, supporting the Pink October awareness effort.
Abdeldjalill-David's Repositories
Abdeldjalill-David/ML.breast-cancer-predictor-rep
This Breast Cancer Prediction project uses Logistic Regression to classify tumors as benign or malignant based on the Breast Cancer Wisconsin Dataset. With an accuracy of 65%, the model aims to aid early detection. An interactive Jupyter Notebook allows users to input data and receive predictions, supporting the Pink October awareness effort.