Trained a Model using Logistic Regression and GD Optimisation based UCI’s Breast Cancer Dataset to classify a tumour as malignant or benign
This is a copy of UCI ML Breast Cancer Wisconsin (Diagnostic) datasets. https://goo.gl/U2Uwz2
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.
Trained a Model using Logistic Regression and GD Optimisation based UCI’s Breast Cancer Dataset to classify a tumour as malignant or benign