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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: 276
Рецензии: 46

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:

1–25 из 46 отзывов о курсе Image Compression with K-Means Clustering

автор: Ashok G

17 апр. 2020 г.

useful

автор: Dhananjay J

21 сент. 2020 г.

A very simple and smooth learning experience. The guided project really helped me connect with the topic and the code being used. I had a slight fear of coding machine learning projects but this course held my hand and helped me understand and finish a project in a very short span of time

автор: Raj D

29 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.

автор: Harsh m

29 мар. 2020 г.

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

автор: Vishnu N

25 окт. 2020 г.

I found this a very good Guided project with Image Compression with K-Means Clustering

автор: Mayank S

26 апр. 2020 г.

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

автор: TEJENDER S

12 апр. 2020 г.

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

автор: Mir T

13 июня 2020 г.

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

автор: SHUBHAM S

14 мая 2020 г.

Amazing high level guide with implementation.....

автор: Satish k J

6 июня 2020 г.

Great mage Compression with K-Means Clustering

автор: Abhishek D

28 июня 2020 г.

The project done is really good for beginners.

автор: Chandrasekhara S V

1 авг. 2020 г.

Nice course and is taught extremely well.

автор: Anvay R A

1 июня 2020 г.

Great hands on experience !!!

автор: Chandra J

14 мая 2020 г.

very good and simple to learn

автор: Nitesh R

8 июня 2020 г.

great guided project course

автор: Mohanad A N

29 мая 2020 г.

Good and straight to point.

автор: SUGUNA M

19 нояб. 2020 г.

good project-based course

автор: K J

18 мая 2020 г.

Perfect and just right

автор: Gangone R

3 июля 2020 г.

very useful course

автор: Diego R G

19 мая 2020 г.

Great project!

автор: Richa G

6 июля 2020 г.

Nice Course.

автор: MARLA S K

9 мая 2020 г.

nice course

автор: Partheepan

9 апр. 2020 г.

very useful

автор: Al A C

25 июля 2020 г.

great job!

автор: Arvind K V

19 мая 2020 г.

Osm course