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Volver a Image Compression with K-Means Clustering

Opiniones y comentarios de aprendices correspondientes a Image Compression with K-Means Clustering por parte de Coursera Project Network

4.6
estrellas
279 calificaciones
47 reseña

Acerca del Curso

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....

Principales reseñas

RD
28 de jun. de 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 de mar. de 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 de 47 revisiones para Image Compression with K-Means Clustering

por Ashok G

17 de abr. de 2020

useful

por Dhananjay J

21 de sep. de 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

por Matthew A

15 de dic. de 2021

Professor was very good in his approach to this guided project. Steps were clear and explained with precise explanations. Would recommend this guided project for anyine who wants hands on experience with image compression with K-Means Clustering.

por Raj D

29 de jun. de 2020

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

por Harsh m

29 de mar. de 2020

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

por Vishnu N

25 de oct. de 2020

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

por Mayank S

26 de abr. de 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

por TEJENDER S

12 de abr. de 2020

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

por Mir T

13 de jun. de 2020

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

por SHUBHAM S

14 de may. de 2020

Amazing high level guide with implementation.....

por Satish k J

6 de jun. de 2020

Great mage Compression with K-Means Clustering

por Abhishek D

28 de jun. de 2020

The project done is really good for beginners.

por Chandrasekhara S V

1 de ago. de 2020

Nice course and is taught extremely well.

por Anvay R A

1 de jun. de 2020

Great hands on experience !!!

por Chandra J

14 de may. de 2020

very good and simple to learn

por Nitesh R

8 de jun. de 2020

great guided project course

por Mohanad A N

29 de may. de 2020

Good and straight to point.

por SUGUNA M

19 de nov. de 2020

good project-based course

por K J

18 de may. de 2020

Perfect and just right

por Gangone R

3 de jul. de 2020

very useful course

por Diego R G

19 de may. de 2020

Great project!

por Richa G

6 de jul. de 2020

Nice Course.

por MARLA S K

9 de may. de 2020

nice course

por Partheepan

9 de abr. de 2020

very useful

por Al A C

25 de jul. de 2020

great job!