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Вернуться к Support Vector Machines with scikit-learn

Отзывы учащихся о курсе Support Vector Machines with scikit-learn от партнера Coursera Project Network

4.3
звезд
Оценки: 302
Рецензии: 51

О курсе

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....

Лучшие рецензии

MS
22 апр. 2020 г.

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 мая 2020 г.

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

Фильтр по:

26–50 из 51 отзывов о курсе Support Vector Machines with scikit-learn

автор: Vajinepalli s s

17 июня 2020 г.

nice

автор: Ankit G

28 мая 2020 г.

nice

автор: Avik C

7 мая 2020 г.

Good

автор: PONDARA K

1 июня 2020 г.

5

автор: MANIKANTA S

26 мая 2020 г.

5

автор: Jorge G

25 февр. 2021 г.

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.

автор: YOGESH P

23 июля 2020 г.

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.

автор: Shobhit U

5 июня 2020 г.

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.

автор: B A

26 июня 2020 г.

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

автор: Pavan K

16 мая 2020 г.

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

автор: ANUBHAB J

29 нояб. 2020 г.

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

автор: Devavrat S B

9 мая 2020 г.

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

автор: Gurucharan C

22 мая 2020 г.

Can improve on explaining theory in detail

автор: Md. M H

3 июня 2020 г.

effective course for beginner

автор: Rohit K

28 мая 2020 г.

Great Content

автор: Suraj

4 июня 2020 г.

thank you!

автор: Veeramanickam M

6 мая 2020 г.

Good one

автор: Kiran U K

18 апр. 2020 г.

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.

автор: TUSHAR S

25 окт. 2020 г.

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.

автор: SAHUKARI O C

22 мая 2020 г.

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.

автор: saihemanth m

14 мая 2020 г.

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

автор: Gadde S S

20 мая 2020 г.

Explanation about the libraries was not enough!

автор: TANZIM M

13 апр. 2020 г.

You have made the course too much compact

автор: Konthalapalli S C

4 мая 2020 г.

good

автор: manam r

21 мая 2020 г.

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