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

The instructor has mastery over these topics. I really enjoyed the session!

Need more thorpugh explanation of python libraries and functions.

The explanation could have been better. I didn't understand the reason behind giving less importance to the conceptual topics. Hope to see some good explanation from other projects.

It Okay types experience.

I am satendra kumar, Ipresuing b. Tech Me lkg ptu main campus kapurthala . I learned about in SVM machine learning, machine learning are three type superwise learning, non superwise learning and re- superwise letaning. SVM likes in the superwise learning. SVM are two types quadrilateral and circle are modle training.

This guided project will definitely give you a practical approach to what you have read in SVM.

Will definitely worth your time.

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.

Application-based course with detailed knowledge of SVMs along with an implementation in image classification

Nicely Done, Just wished if we used real-world datasets instead of the sci-kit learn one.

I am grateful to have the chance to participate in an online course like this!

The course is like a crash course on SVMs with good explanation of concepts.

Highly recommended to those who have an understanding of SVMs.

Nice Project! But theory should have explained a little more.

I am learning so new things from the topic

Very good project .. learned a lot

Nicely thaught concepts

intersting and helpfull

Good for the beginners

Good Course

aewsome

Nothing

thanks

Good

Nice

good