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Back to Image Compression with K-Means Clustering

Learner Reviews & Feedback for Image Compression with K-Means Clustering by Coursera Project Network

4.6
stars
283 ratings

About the Course

In this project, you will apply the k-means clustering unsupervised learning algorithm using scikit-learn and Python to build an image compression application with interactive controls. By the end of this 45-minute long project, you will be competent in pre-processing high-resolution image data for k-means clustering, conducting basic exploratory data analysis (EDA) and data visualization, applying a computationally time-efficient implementation of the k-means algorithm, Mini-Batch K-Means, to compress images, and leverage the Jupyter widgets library to build interactive GUI components to select images from a drop-down list and pick values of k using a slider. 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....

Top reviews

RD

Jun 28, 2020

The course was very interactive and suitable for beginners. The concepts are explained well and are easy to understand and implement yourself.

HM

Mar 29, 2020

really informative and interactive, rhyme is an ingeniously made learning platform. had a great time learning a new skill.

Filter by:

26 - 47 of 47 Reviews for Image Compression with K-Means Clustering

By Arvind K V

•

May 19, 2020

Osm course

By DR. N K

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Aug 21, 2020

good time

By Jyotin P

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Jul 18, 2020

Good one.

By Kamlesh C

•

Jun 18, 2020

Thank you

By rayudu.chinnarao

•

May 19, 2020

excellent

By Joseph j D

•

Apr 14, 2020

useful

By Uppalapati. S S

•

Jun 14, 2020

Great

By MADHAV V

•

Aug 4, 2020

Good

By p s

•

Jun 29, 2020

Nice

By tale p

•

Jun 17, 2020

good

By Dr.R.SARAVANAN

•

Jun 9, 2020

Good

By DODDI A

•

May 23, 2020

Its a very good course for beginners, instructor Snehan Kekre is good at helping us step by step.

Only Regret the time for usage of cloud browser is very limited, it should be increased as the user needs to settle with environment

By PRAKHAR Y

•

Apr 6, 2020

Good course to gain a little understanding of K means algorithm(mostly its mini form MiniBatchKMeans) and also to know its application such as image compression.

By PILLA N K

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May 28, 2020

issues with keyboard typing on remote desktop(Capslock didnt worked )

By Manoj K A

•

Aug 18, 2020

it helped me to develop my carrier.

By Md. M H 1

•

Aug 28, 2020

Better for beginner

By Suraj

•

Jun 12, 2020

thank you!

By Ms.R.Rajakumari e

•

Jun 10, 2020

STASTIFIED

By Thiruveni

•

Jun 15, 2020

good

By Sakshi B

•

Jul 2, 2020

I expected more from coursera project network. Not these minor projects.

By Belcy B

•

May 23, 2020

na

By DEEP K S

•

Jun 11, 2020

voice is breaking so much that i have wait to min to listen complete sentence