Cervical Cancer Risk Prediction Using Machine Learning
By Coursera
on Coursera
· Data Science
About This Course
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.
Instructor
Ryan Ahmed
Frequently Asked Questions
How much does Cervical Cancer Risk Prediction Using Machine Learning cost?
Visit the Cervical Cancer Risk Prediction Using Machine Learning course page for current pricing and available discounts.
Who teaches Cervical Cancer Risk Prediction Using Machine Learning?
Cervical Cancer Risk Prediction Using Machine Learning is taught by Ryan Ahmed, Coursera.
What skill level is Cervical Cancer Risk Prediction Using Machine Learning for?
This course is designed for all levels learners.