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Cervical Cancer Risk Prediction Using Machine Learning
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.
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| Rating | Not enough ratings |
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| Length | 2 weeks |
| Effort | 2 hours |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Ryan Ahmed |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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| Rating | Not enough ratings |
|---|---|
| Length | 2 weeks |
| Effort | 2 hours |
| Starts | Jul 3 (43 weeks ago) |
| Cost | $9 |
| From | Coursera Project Network via Coursera |
| Instructor | Ryan Ahmed |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Science Data Analysis Software Development |
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