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

4.6
étoiles
276 évaluations
46 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

RD
28 juin 2020

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

HM
29 mars 2020

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

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1 - 25 sur 46 Avis pour Image Compression with K-Means Clustering

par Ashok G

17 avr. 2020

useful

par Dhananjay J

21 sept. 2020

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

par Raj D

29 juin 2020

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

par Harsh m

29 mars 2020

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

par Vishnu N

25 oct. 2020

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

par Mayank S

26 avr. 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

par TEJENDER S

12 avr. 2020

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

par Mir T

13 juin 2020

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

par SHUBHAM S

14 mai 2020

Amazing high level guide with implementation.....

par Satish k J

6 juin 2020

Great mage Compression with K-Means Clustering

par Abhishek D

28 juin 2020

The project done is really good for beginners.

par Chandrasekhara S V

1 août 2020

Nice course and is taught extremely well.

par Anvay R A

1 juin 2020

Great hands on experience !!!

par Chandra J

14 mai 2020

very good and simple to learn

par Nitesh R

8 juin 2020

great guided project course

par Mohanad A N

29 mai 2020

Good and straight to point.

par SUGUNA M

19 nov. 2020

good project-based course

par K J

18 mai 2020

Perfect and just right

par Gangone R

3 juil. 2020

very useful course

par Diego R G

19 mai 2020

Great project!

par Richa G

6 juil. 2020

Nice Course.

par MARLA S K

9 mai 2020

nice course

par Partheepan

9 avr. 2020

very useful

par Al A C

25 juil. 2020

great job!

par Arvind K V

19 mai 2020

Osm course