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Kursteilnehmer-Bewertung und -Feedback für Support Vector Machines with scikit-learn von Coursera Project Network

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301 Bewertungen
51 Bewertungen

Über den Kurs

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....

Top-Bewertungen

MS
22. Apr. 2020

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
12. Mai 2020

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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26 - 50 von 51 Bewertungen für Support Vector Machines with scikit-learn

von Vajinepalli s s

17. Juni 2020

nice

von Ankit G

28. Mai 2020

nice

von Avik C

7. Mai 2020

Good

von PONDARA K

1. Juni 2020

5

von MANIKANTA S

26. Mai 2020

5

von Jorge H G G

25. Feb. 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

von YOGESH P

23. Juli 2020

The theoretical concepts related to Support Vector Machines are explained to a fair extent. Although, I would advise you to gather a good knowledge on this topic to get the most out of this course. The instructor really guides you throughout the course of the project. However, you might sometimes feel like you're missing out on some aspects of the topic but hang on, and you'll be good to go by the end of this project.

von Shobhit U

5. Juni 2020

It is a good project but you need familiar background of all the libraries and a bit of knowledge from your part on support vector machines, which I think is okay, because guided projects can only understood if you have the basics with you.

von B A

26. Juni 2020

It might be difficult for some people to understand this course who have zero knowledge of machine learning. Overall the course was good.

von Pavan K

16. Mai 2020

Beginner friendly and walks you through most of major steps which are usually done in Machine Learning Projects with SVM. Good course

von ANUBHAB J

29. Nov. 2020

nice application. user should know mathematics about SVM, PCA for better experience of this project.

von Devavrat S B

9. Mai 2020

It would have been better if the theory would have been explain in more depth.

von Gurucharan C

22. Mai 2020

Can improve on explaining theory in detail

von Md. M H

3. Juni 2020

effective course for beginner

von Rohit K

28. Mai 2020

Great Content

von Suraj

4. Juni 2020

thank you!

von Veeramanickam M

6. Mai 2020

Good one

von Kiran U K

18. Apr. 2020

content was good, but interface was not user friendly.

Need not provide cloud instance of notebook or could have been in different tab. everything in one tab with no option for user to switch to full screen makes it difficult.

Though the approach of practical coding is appreciated.

von TUSHAR S

25. Okt. 2020

It's a good guided project by Snehan sir, but what I found is that there's a lack of more explanation about the involved mathematics related to the SVM concept. Otherwise, the guided project is fine.

von SAHUKARI O C

22. Mai 2020

The course is very understanding, but some modules shown in the course are no longer in the present version so if possible update the videos or mentions the version which is used.

von saihemanth m

14. Mai 2020

Explanation of code is not upto mark, and should be explained in more detailed way

von Gadde S S

20. Mai 2020

Explanation about the libraries was not enough!

von TANZIM M

13. Apr. 2020

You have made the course too much compact

von Konthalapalli S C

4. Mai 2020

good

von manam r

21. Mai 2020

Library functions are not explained in detail and for beginners its difficult to understand them.