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Image Compression with K-Means Clustering (으)로 돌아가기

Coursera Project Network의 Image Compression with K-Means Clustering 학습자 리뷰 및 피드백

4.6
별점
233개의 평가
40개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Image Compression with K-Means Clustering 의 40개 리뷰 중 1~25

교육 기관: Ashok G

Apr 17, 2020

useful

교육 기관: 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.

교육 기관: Harsh m

Mar 30, 2020

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

교육 기관: Mayank S

Apr 26, 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

교육 기관: TEJENDER S

Apr 12, 2020

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

교육 기관: Mir T

Jun 13, 2020

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

교육 기관: SHUBHAM S

May 15, 2020

Amazing high level guide with implementation.....

교육 기관: Satish k J

Jun 06, 2020

Great mage Compression with K-Means Clustering

교육 기관: Abhishek D

Jun 28, 2020

The project done is really good for beginners.

교육 기관: Chandrasekhara S V

Aug 01, 2020

Nice course and is taught extremely well.

교육 기관: Anvay

Jun 02, 2020

Great hands on experience !!!

교육 기관: Dr. C J

May 14, 2020

very good and simple to learn

교육 기관: nitesh r

Jun 08, 2020

great guided project course

교육 기관: Mohanad Q A A

May 29, 2020

Good and straight to point.

교육 기관: K J

May 18, 2020

Perfect and just right

교육 기관: Gangone R

Jul 03, 2020

very useful course

교육 기관: Diego R G

May 20, 2020

Great project!

교육 기관: Richa G

Jul 06, 2020

Nice Course.

교육 기관: MARLA S K

May 09, 2020

nice course

교육 기관: Partheepan

Apr 09, 2020

very useful

교육 기관: Al A C

Jul 25, 2020

great job!

교육 기관: Arvind K V

May 20, 2020

Osm course

교육 기관: Jyotin P

Jul 18, 2020

Good one.

교육 기관: Kamlesh C

Jun 18, 2020

Thank you

교육 기관: rayudu.chinnarao

May 19, 2020

excellent