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學生對 Coursera Project Network 提供的 Image Compression with K-Means Clustering 的評價和反饋

4.6
233 個評分
40 條評論

課程概述

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....

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RD

Jun 29, 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 30, 2020

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

篩選依據:

1 - Image Compression with K-Means Clustering 的 25 個評論(共 40 個)

創建者 Ashok G

Apr 17, 2020

useful

創建者 Raj D

Jun 29, 2020

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

創建者 Harsh m

Mar 30, 2020

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

創建者 Mayank S

Apr 26, 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

創建者 TEJENDER S

Apr 12, 2020

It was great learning here a good experience. Thank you coursera

創建者 Mir T

Jun 13, 2020

An amazing tutor, and a course that anyone can take.

創建者 SHUBHAM S

May 15, 2020

Amazing high level guide with implementation.....

創建者 Satish k J

Jun 06, 2020

Great mage Compression with K-Means Clustering

創建者 Abhishek D

Jun 28, 2020

The project done is really good for beginners.

創建者 Chandrasekhara S V

Aug 01, 2020

Nice course and is taught extremely well.

創建者 Anvay

Jun 02, 2020

Great hands on experience !!!

創建者 Dr. C J

May 14, 2020

very good and simple to learn

創建者 nitesh r

Jun 08, 2020

great guided project course

創建者 Mohanad Q A A

May 29, 2020

Good and straight to point.

創建者 K J

May 18, 2020

Perfect and just right

創建者 Gangone R

Jul 03, 2020

very useful course

創建者 Diego R G

May 20, 2020

Great project!

創建者 Richa G

Jul 06, 2020

Nice Course.

創建者 MARLA S K

May 09, 2020

nice course

創建者 Partheepan

Apr 09, 2020

very useful

創建者 Al A C

Jul 25, 2020

great job!

創建者 Arvind K V

May 20, 2020

Osm course

創建者 Jyotin P

Jul 18, 2020

Good one.

創建者 Kamlesh C

Jun 18, 2020

Thank you

創建者 rayudu.chinnarao

May 19, 2020

excellent