Breast cancer (BC) is one of the most common cancers among women in the world today.
Currently, the average risk of a woman in the United States developing breast cancer sometime in her life is about 13%, which means there is a 1 in 8 chance she will develop breast cancer!
An early diagnosis of BC can greatly improve the prognosis and chance of survival for patients. Thus an accurate identification of malignant tumors is of paramount importance.
In this article I will also go over all the steps needed to make a Data Science project complete in itself, and with the use of machine learning algorithms, ultimately build a model which accurately classifies tumors as Benign or Malignant based on the tumor shape and its geometry. …
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