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学生对 Coursera Project Network 提供的 Image Compression with K-Means Clustering 的评价和反馈

4.6
280 个评分
47 条评论

课程概述

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....

热门审阅

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.

筛选依据:

26 - Image Compression with K-Means Clustering 的 47 个评论(共 47 个)

创建者 Arvind K V

May 19, 2020

Osm course

创建者 DR. N K

Aug 21, 2020

good time

创建者 Jyotin P

Jul 18, 2020

Good one.

创建者 Kamlesh C

Jun 18, 2020

Thank you

创建者 rayudu.chinnarao

May 19, 2020

excellent

创建者 Joseph j D

Apr 14, 2020

useful

创建者 Uppalapati. S S

Jun 14, 2020

Great

创建者 MADHAV V

Aug 4, 2020

Good

创建者 p s

Jun 29, 2020

Nice

创建者 tale p

Jun 17, 2020

good

创建者 Mr.R.Saravanan E S

Jun 9, 2020

Good

创建者 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

创建者 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.

创建者 PILLA N K

May 28, 2020

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

创建者 Manoj K A

Aug 18, 2020

it helped me to develop my carrier.

创建者 Md. M H

Aug 28, 2020

Better for beginner

创建者 Suraj

Jun 12, 2020

thank you!

创建者 Ms.R.Rajakumari e

Jun 10, 2020

STASTIFIED

创建者 Thiruveni

Jun 15, 2020

good

创建者 Sakshi B

Jul 2, 2020

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

创建者 Belcy B

May 23, 2020

na

创建者 DEEP K S

Jun 11, 2020

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