Avis et commentaires pour d'étudiants pour Support Vector Machines with scikit-learn par Coursera Project Network
À propos du cours
Meilleurs avis
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.
This guided project will definitely give you a practical approach to what you have read in SVM.\n\nWill definitely worth your time.
26 - 50 sur 51 Avis pour Support Vector Machines with scikit-learn
par Vajinepalli s s
•nice
par Ankit G
•nice
par Avik C
•Good
par PONDARA K
•5
par MANIKANTA S
•5
par Jorge G
•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
•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
•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
•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
•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
•nice application. user should know mathematics about SVM, PCA for better experience of this project.
par Devavrat S B
•It would have been better if the theory would have been explain in more depth.
par Gurucharan C
•Can improve on explaining theory in detail
par Md. M H
•effective course for beginner
par Rohit K
•Great Content
par Suraj
•thank you!
par Veeramanickam M
•Good one
par Kiran U K
•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
•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
•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
•Explanation of code is not upto mark, and should be explained in more detailed way
par Gadde S S
•Explanation about the libraries was not enough!
par TANZIM M
•You have made the course too much compact
par Konthalapalli S C
•good
par manam r
•Library functions are not explained in detail and for beginners its difficult to understand them.
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