Cervical Cancer Risk Prediction Using Machine Learning provided by Coursera is a comprehensive online course, which lasts for 2 hours worth of material. Cervical Cancer Risk Prediction Using Machine Learning is taught by Ryan Ahmed. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.
2 hours worth of material
Upcoming
In this hands-on project, we will build and train an XG-Boost classifier to predict whether a person has a risk of having cervical cancer. Cervical cancer kills about 4,000 women in the U.S. and about 300,000 women worldwide.
Data has been obtained from 858 patients and include features such as number of pregnancies, smoking habits, Sexually Transmitted Disease (STD), demographics, and historic medical records.
