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Avis et commentaires pour d'étudiants pour Image Compression with K-Means Clustering par Coursera Project Network

4.6
étoiles
99 évaluations
19 avis

À propos du cours

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....

Meilleurs avis

HM

Mar 30, 2020

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

MS

Apr 26, 2020

Great Course.\n\nNow i know we can compress image using Kmeans.\n\nThankyou Snehan Kekre

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1 - 19 sur 19 Avis pour Image Compression with K-Means Clustering

par Ashok G

Apr 17, 2020

useful

par Harsh m

Mar 30, 2020

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

par Mayank S

Apr 26, 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

par TEJENDER S

Apr 12, 2020

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

par SHUBHAM S

May 15, 2020

Amazing high level guide with implementation.....

par Anvay

Jun 02, 2020

Great hands on experience !!!

par Dr. C J

May 14, 2020

very good and simple to learn

par Mohanad Q A A

May 29, 2020

Good and straight to point.

par K J

May 18, 2020

Perfect and just right

par Diego R G

May 20, 2020

Great project!

par MARLA S K

May 09, 2020

nice course

par Partheepan

Apr 09, 2020

very useful

par Arvind K V

May 20, 2020

Osm course

par rayudu.chinnarao

May 19, 2020

excellent

par Joseph j D

Apr 14, 2020

useful

par DODDI A

May 23, 2020

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

par PRAKHAR Y

Apr 06, 2020

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.

par PILLA N K

May 28, 2020

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

par Belcy B

May 23, 2020

na