Ovarian cancer is one of the deadly diseases among women. Most of the patients are diagnosed with ovarian cancer at a very late stage because there are no symptoms that occur at an early stage. Based on blood sample data collected from different ovarian cancer patients and healthy patients, my research focuses on building a Support Vector Machine(SVM) Classifier that can predict to which class (e.g. Cancer or Healthy) a new blood sample belongs. This hopefully can help doctors in diagnosing these cancer patients at an early stage.