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Medical Diagnosis using Support Vector Machines(으)로 돌아가기

Coursera Project Network의 Medical Diagnosis using Support Vector Machines 학습자 리뷰 및 피드백

59개의 평가
15개의 리뷰

강좌 소개

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....

최상위 리뷰

필터링 기준:

Medical Diagnosis using Support Vector Machines의 15개 리뷰 중 1~15

교육 기관: Vishnu R

2020년 7월 11일

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.

교육 기관: Yasir A

2020년 9월 13일

Nice course.

교육 기관: Nikita H

2020년 9월 22일

Good course

교육 기관: ANURAG P

2020년 7월 11일

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

교육 기관: Diana C

2020년 11월 22일

Just the right amount of explanation and content.

교육 기관: ESTEBAN P J

2021년 9월 16일

good and useful

교육 기관: Gregory G J

2021년 1월 7일

Thumbs Up!

교육 기관: Kamlesh C

2020년 8월 27일

Thank you

교육 기관: VINAYAK M

2020년 7월 20일


교육 기관: Isaac S

2020년 7월 8일


교육 기관: Edward N

2021년 9월 25일


교육 기관: Himanka K

2022년 3월 12일

Showed good use of the SVM classifier on real medical diabetes data. However data engineering in the sense of building the dataset used by the model from raw data is missing, which is one of the most important part. Tons of online free example videos are there in youtube on how to apply SVM on real dataset, however for such paid project something extra was needed, which in my case was the data engieering.

교육 기관: Ran B R

2021년 6월 9일

Quick and basic intro to SVM training. Clearly explained each step and pointed out some issues to avoid. I'd have liked a little explanation of *how* SVMs work (even just how predictions are made once model is trained), but it being "beyond the scope of the project" is not unreasonable

교육 기관: Rushikesh S

2020년 7월 12일

Good course for practicing SVM Classifiers

교육 기관: Shubhra P

2020년 7월 23일

A very simple example