Cervical Cancer Risk Prediction Using Machine Learning
$9.99
ENROLL NOWCourse Overview
What You'll Learn
- 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.
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.
Course FAQs
Is this an accredited online course?
Accreditation for 'Cervical Cancer Risk Prediction Using Machine Learning' is determined by the provider, Coursera Project Network. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Cervical Cancer Risk Prediction Using Machine Learning' on the Coursera Project Network online class platform, where you can complete your registration.
