Cervical Cancer Risk Prediction Using Machine Learning

4.6

18 個評分

提供方
在此指導項目中,您將:
2 hours
初級
無需下載
分屏視頻
英語(English)
僅限桌面

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.

您要培養的技能

  • Data Analysis

  • Machine Learning

  • classification

  • Artificial Intelligence(AI)

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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