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Learner Reviews & Feedback for Medical Diagnosis using Support Vector Machines by Coursera Project Network

43 ratings
9 reviews

About the Course

In this one hour long project-based course, you will learn the basics of support vector machines using Python and scikit-learn. The dataset we are going to use comes from the National Institute of Diabetes and Digestive and Kidney Diseases, and contains anonymized diagnostic measurements for a set of female patients. We will train a support vector machine to predict whether a new patient has diabetes based on such measurements. By the end of this course, you will be able to model an existing dataset with the goal of making predictions about new data. This is a first step on the path to mastering machine learning. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1 - 9 of 9 Reviews for Medical Diagnosis using Support Vector Machines

By Vishnu R

Jul 11, 2020

This is not a real world data. Instructor is showing a very basic example. I guess he could have done a real world problem which is little challenging and useful to participants.


Jul 11, 2020

A short duration course but with deep and effective learnings. This will give you some insights regarding the power of SVMs

By Kamlesh C

Aug 28, 2020

Thank you


Jul 20, 2020


By Isaac S

Jul 08, 2020


By Rushikesh S

Jul 12, 2020

Good course for practicing SVM Classifiers

By Shubhra P

Jul 23, 2020

A very simple example

By MD. Y A

Sep 13, 2020

Nice course.

By Nikita H

Sep 22, 2020

Good course