Breast Cancer Classification

About the Course

Tool: Python
Machine Learning Technique: Support Vector Machine

Breast cancer is the most common cancer among women worldwide, accounting for 25 percent of all cancer cases and affected two point one million people in 2015, early diagnosis significantly increases the chances of survival.
The key challenge in cancer detection is how to classify tumors into malignant or benign machine learning techniques can dramatically improves the accuracy of diagnosis. Research indicates that most experienced physicians can diagnose cancers with 79 percent accuracy, while 91 percent correct diagnosis is achieved using machine learning techniques in this case study. Our task is to classify tumors into malignant or benign tumors using features of patients from several cell images.
Level: Advance

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