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學生對 Coursera Project Network 提供的 Support Vector Machines with scikit-learn 的評價和反饋

4.3
301 個評分
51 條評論

課程概述

In this project, you will learn the functioning and intuition behind a powerful class of supervised linear models known as support vector machines (SVMs). By the end of this project, you will be able to apply SVMs using scikit-learn and Python to your own classification tasks, including building a simple facial recognition model. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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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MS
2020年4月22日

Learned about SVM.\n\nNeed t revisit the code and get most out of it.\n\nThings were concise and that is the strength of the course.

SY
2020年5月12日

This guided project will definitely give you a practical approach to what you have read in SVM.\n\nWill definitely worth your time.

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1 - Support Vector Machines with scikit-learn 的 25 個評論(共 51 個)

創建者 Tanish M S

2020年3月30日

The instructor has mastery over these topics. I really enjoyed the session!

創建者 Rachana C

2020年3月28日

Need more thorpugh explanation of python libraries and functions.

創建者 K B P

2020年9月6日

The explanation could have been better. I didn't understand the reason behind giving less importance to the conceptual topics. Hope to see some good explanation from other projects.

創建者 Sarthak P

2020年6月10日

It Okay types experience.

創建者 Satyendra k

2020年5月29日

I am satendra kumar, Ipresuing b. Tech Me lkg ptu main campus kapurthala . I learned about in SVM machine learning, machine learning are three type superwise learning, non superwise learning and re- superwise letaning. SVM likes in the superwise learning. SVM are two types quadrilateral and circle are modle training.

創建者 Shubham Y

2020年5月13日

This guided project will definitely give you a practical approach to what you have read in SVM.

Will definitely worth your time.

創建者 Mayank S

2020年4月23日

Learned about SVM.

Need t revisit the code and get most out of it.

Things were concise and that is the strength of the course.

創建者 ANURAG P

2020年7月10日

Application-based course with detailed knowledge of SVMs along with an implementation in image classification

創建者 Lasal J

2020年12月23日

Nicely Done, Just wished if we used real-world datasets instead of the sci-kit learn one.

創建者 Abhishek P G

2020年6月18日

I am grateful to have the chance to participate in an online course like this!

創建者 RUDRA P D

2020年9月16日

The course is like a crash course on SVMs with good explanation of concepts.

創建者 Sebastian J

2020年4月15日

Highly recommended to those who have an understanding of SVMs.

創建者 Ujjwal K

2020年5月9日

Nice Project! But theory should have explained a little more.

創建者 SHOMNATH D

2020年5月8日

I am learning so new things from the topic

創建者 Ashwini M

2020年6月13日

Very good project .. learned a lot

創建者 Arnab S

2020年10月12日

Nicely thaught concepts

創建者 Shantanu b

2020年5月23日

intersting and helpfull

創建者 javed a

2020年6月25日

Good for the beginners

創建者 JONNALA S R

2020年5月5日

Good Course

創建者 SHIV P S P

2020年6月27日

aewsome

創建者 SUDARSHINI A

2020年5月31日

Nothing

創建者 Kamlesh C

2020年6月26日

thanks

創建者 KARUNANIDHI D

2020年6月26日

Good

創建者 p s

2020年6月22日

Nice

創建者 tale p

2020年6月18日

good