Cervical Cancer Risk Prediction Using Machine Learning

About this guided project

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.

What skills will you gain?

Predictive Modeling

Predictive Analytics

Data Science

Statistical Modeling

Advanced Analytics

Business Analytics