MS
Apr 22, 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
May 12, 2020
This guided project will definitely give you a practical approach to what you have read in SVM.
Will definitely worth your time.
By Vajinepalli s s
•Jun 17, 2020
nice
By Ankit G
•May 28, 2020
nice
By Avik C
•May 7, 2020
Good
By PONDARA K
•Jun 1, 2020
5
By MANIKANTA S
•May 26, 2020
5
By Jorge G
•Feb 25, 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.
By YOGESH P
•Jul 23, 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.
By Shobhit U
•Jun 5, 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.
By B A
•Jun 26, 2020
It might be difficult for some people to understand this course who have zero knowledge of machine learning. Overall the course was good.
By Pavan K
•May 16, 2020
Beginner friendly and walks you through most of major steps which are usually done in Machine Learning Projects with SVM. Good course
By ANUBHAB J
•Nov 29, 2020
nice application. user should know mathematics about SVM, PCA for better experience of this project.
By Devavrat S B
•May 9, 2020
It would have been better if the theory would have been explain in more depth.
By Gurucharan C
•May 22, 2020
Can improve on explaining theory in detail
By Md. M H 1
•Jun 3, 2020
effective course for beginner
By Rohit K
•May 28, 2020
Great Content
By Suraj
•Jun 4, 2020
thank you!
By Veeramanickam M
•May 6, 2020
Good one
By Kiran U K
•Apr 18, 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.
By TUSHAR S
•Oct 25, 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.
By SAHUKARI O C
•May 22, 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.
By saihemanth m
•May 14, 2020
Explanation of code is not upto mark, and should be explained in more detailed way
By Sai S G
•May 20, 2020
Explanation about the libraries was not enough!
By TANZIM M
•Apr 13, 2020
You have made the course too much compact
By Konthalapalli S C
•May 4, 2020
good
By manam r
•May 21, 2020
Library functions are not explained in detail and for beginners its difficult to understand them.