About 1 in 8 U.S. women (about 12%) will develop invasive breast cancer over the course of her lifetime. There are two types of tumors: Benign and Malignant. Malignant tumor is cancerous and is dangerous if it is not treated in the early stages. It is also very expensive in the United States for the cancer diagnosis and treatment. Hence, in the search to find a cheaper diagnosis technique, we propose a few models like logistic regression, linear classification on PCA(Principal Component Analysis) and Random Forest, which can help diagnose breast cancer as benign or malignant.