Chevron Left
Вернуться к Support Vector Machines with scikit-learn

Отзывы учащихся о курсе Support Vector Machines with scikit-learn от партнера Rhyme

4.2
звезд
Оценки: 99
Рецензии: 20

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....
Фильтр по:

1–21 из 21 отзывов о курсе Support Vector Machines with scikit-learn

автор: Tanish M S

Mar 30, 2020

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

автор: Rachana C

Mar 28, 2020

Need more thorpugh explanation of python libraries and functions.

автор: Shubham Y

May 13, 2020

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

Will definitely worth your time.

автор: Mayank S

Apr 23, 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.

автор: Sebastian J

Apr 15, 2020

Highly recommended to those who have an understanding of SVMs.

автор: Ujjwal K

May 09, 2020

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

автор: SHOMNATH D

May 08, 2020

I am learning so new things from the topic

автор: Shantanu b

May 23, 2020

intersting and helpfull

автор: JONNALA S R

May 05, 2020

Good Course

автор: Avik C

May 07, 2020

Good

автор: 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

автор: Devavrat S B

May 09, 2020

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

автор: GURUCHARAN C

May 22, 2020

Can improve on explaining theory in detail

автор: Veeramanickam M

May 06, 2020

Good one

автор: 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.

автор: 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.

автор: saihemanth m

May 14, 2020

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

автор: Gadde S S

May 20, 2020

Explanation about the libraries was not enough!

автор: Tanzim M

Apr 13, 2020

You have made the course too much compact

автор: Konthalapalli S C

May 04, 2020

good

автор: manam r

May 21, 2020

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