Avis et commentaires pour d'étudiants pour Support Vector Machines with scikit-learn par Coursera Project Network
À propos du cours
Meilleurs avis
MS
22 avr. 2020
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.
SY
12 mai 2020
This guided project will definitely give you a practical approach to what you have read in SVM.
Will definitely worth your time.
26 - 50 sur 51 Avis pour Support Vector Machines with scikit-learn
par Vajinepalli s s
•17 juin 2020
nice
par Ankit G
•28 mai 2020
nice
par Avik C
•7 mai 2020
Good
par PONDARA K
•1 juin 2020
5
par MANIKANTA S
•26 mai 2020
5
par Jorge G
•25 févr. 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.
par YOGESH P
•23 juil. 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.
par Shobhit U
•5 juin 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.
par B A
•26 juin 2020
It might be difficult for some people to understand this course who have zero knowledge of machine learning. Overall the course was good.
par 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
par ANUBHAB J
•29 nov. 2020
nice application. user should know mathematics about SVM, PCA for better experience of this project.
par Devavrat S B
•9 mai 2020
It would have been better if the theory would have been explain in more depth.
par Gurucharan C
•22 mai 2020
Can improve on explaining theory in detail
par Md. M H
•3 juin 2020
effective course for beginner
par Rohit K
•28 mai 2020
Great Content
par Suraj
•4 juin 2020
thank you!
par Veeramanickam M
•6 mai 2020
Good one
par Kiran U K
•18 avr. 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.
par TUSHAR S
•25 oct. 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.
par 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.
par saihemanth m
•14 mai 2020
Explanation of code is not upto mark, and should be explained in more detailed way
par Sai S G
•20 mai 2020
Explanation about the libraries was not enough!
par TANZIM M
•13 avr. 2020
You have made the course too much compact
par Konthalapalli S C
•4 mai 2020
good
par manam r
•21 mai 2020
Library functions are not explained in detail and for beginners its difficult to understand them.
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