Cervical Cancer Risk Prediction Using Machine Learning

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提供方
在此指导项目中,您将:
2 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

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.

您要培养的技能

  • Data Analysis

  • Machine Learning

  • classification

  • Artificial Intelligence(AI)

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