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Voltar para Support Vector Machines with scikit-learn

Comentários e feedback de alunos de Support Vector Machines with scikit-learn da instituição Coursera Project Network

281 classificações
46 avaliações

Sobre o curso

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....

Melhores avaliações


Apr 23, 2020

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.


May 13, 2020

This guided project will definitely give you a practical approach to what you have read in SVM.\n\nWill definitely worth your time.

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26 — 46 de 46 Avaliações para o Support Vector Machines with scikit-learn


May 26, 2020


por 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.

por Shobhit U

Jun 05, 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.

por 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.

por 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

por Devavrat S B

May 09, 2020

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

por Gurucharan C

May 22, 2020

Can improve on explaining theory in detail

por Md. M H 1

Jun 03, 2020

effective course for beginner

por Rohit K

May 28, 2020

Great Content

por Suraj

Jun 04, 2020

thank you!

por Veeramanickam M

May 06, 2020

Good one

por 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.

por K B S P

Sep 06, 2020

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.


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.

por saihemanth m

May 14, 2020

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

por Gadde S S

May 20, 2020

Explanation about the libraries was not enough!

por Tanzim M

Apr 13, 2020

You have made the course too much compact

por Sarthak P

Jun 10, 2020

It Okay types experience.

por Konthalapalli S C

May 04, 2020


por manam r

May 21, 2020

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

por dhruvi

Jun 11, 2020

kernel trick that was mentioned is not talked about