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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
234 个评分
40 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 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.

筛选依据:

1 - Image Compression with K-Means Clustering 的 25 个评论(共 40 个)

创建者 Ashok G

Apr 17, 2020

useful

创建者 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.

创建者 Harsh m

Mar 30, 2020

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

创建者 Mayank S

Apr 26, 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

创建者 TEJENDER S

Apr 12, 2020

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

创建者 Mir T

Jun 13, 2020

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

创建者 SHUBHAM S

May 15, 2020

Amazing high level guide with implementation.....

创建者 Satish k J

Jun 06, 2020

Great mage Compression with K-Means Clustering

创建者 Abhishek D

Jun 28, 2020

The project done is really good for beginners.

创建者 Chandrasekhara S V

Aug 01, 2020

Nice course and is taught extremely well.

创建者 Anvay

Jun 02, 2020

Great hands on experience !!!

创建者 Dr. C J

May 14, 2020

very good and simple to learn

创建者 nitesh r

Jun 08, 2020

great guided project course

创建者 Mohanad Q A A

May 29, 2020

Good and straight to point.

创建者 K J

May 18, 2020

Perfect and just right

创建者 Gangone R

Jul 03, 2020

very useful course

创建者 Diego R G

May 20, 2020

Great project!

创建者 Richa G

Jul 06, 2020

Nice Course.

创建者 MARLA S K

May 09, 2020

nice course

创建者 Partheepan

Apr 09, 2020

very useful

创建者 Al A C

Jul 25, 2020

great job!

创建者 Arvind K V

May 20, 2020

Osm course

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