Chevron Left
Вернуться к Image Compression with K-Means Clustering

Отзывы учащихся о курсе Image Compression with K-Means Clustering от партнера Coursera Project Network

4.6
звезд
Оценки: 280
•
Рецензии: 47

О курсе

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....

Лучшие рецензии

RD

28 июня 2020 г.

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

HM

29 мар. 2020 г.

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

Фильтр по:

26–47 из 47 отзывов о курсе Image Compression with K-Means Clustering

автор: Arvind K V

•

19 мая 2020 г.

Osm course

автор: DR. N K

•

21 авг. 2020 г.

good time

автор: Jyotin P

•

18 июля 2020 г.

Good one.

автор: Kamlesh C

•

18 июня 2020 г.

Thank you

автор: rayudu.chinnarao

•

19 мая 2020 г.

excellent

автор: Joseph j D

•

14 апр. 2020 г.

useful

автор: Uppalapati. S S

•

14 июня 2020 г.

Great

автор: MADHAV V

•

4 авг. 2020 г.

Good

автор: p s

•

29 июня 2020 г.

Nice

автор: tale p

•

17 июня 2020 г.

good

автор: Mr.R.Saravanan E S

•

9 июня 2020 г.

Good

автор: DODDI A

•

23 мая 2020 г.

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

автор: PRAKHAR Y

•

6 апр. 2020 г.

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.

автор: PILLA N K

•

28 мая 2020 г.

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

автор: Manoj K A

•

18 авг. 2020 г.

it helped me to develop my carrier.

автор: Md. M H

•

28 авг. 2020 г.

Better for beginner

автор: Suraj

•

12 июня 2020 г.

thank you!

автор: Ms.R.Rajakumari e

•

10 июня 2020 г.

STASTIFIED

автор: Thiruveni

•

15 июня 2020 г.

good

автор: Sakshi B

•

2 июля 2020 г.

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

автор: Belcy B

•

23 мая 2020 г.

na

автор: DEEP K S

•

11 июня 2020 г.

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

Coursera Footer

Начните карьеру или продвиньтесь по карьерной лестнице

Смотреть популярные темы

Популярные курсы и статьи

Получите диплом или сертификат онлайн

Coursera

Сообщество

Еще

Учитесь, где угодно
Загрузить из App StoreЗагрузить в Google Play
Placeholder