Cancer is one of the most fatal diseases and breast cancer is found to be predominantly death causing causing disease for women. There is vast research in the direction of diagnosis, prognosis, and cure for this dreadful disease. Since the use of advanced tools in Machine Learning in medicine, there has been a rapid requirement for proper documentation of medical records. Almost every medical facility is now keeping a detailed account of radiological data. This paper focuses application of ML tools to the historical data available from the archives and developing a model that is accurate in the identification of cancerous regions from the examination of trained images.