Chevron Left
Voltar para Image Compression with K-Means Clustering

Comentários e feedback de alunos de Image Compression with K-Means Clustering da instituição Coursera Project Network

4.6
estrelas
276 classificações
46 avaliações

Sobre o 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....

Melhores avaliações

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.

Filtrar por:

1 — 25 de 46 Avaliações para o Image Compression with K-Means Clustering

por Ashok G

17 de Abr de 2020

useful

por Dhananjay J

21 de Set 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 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 Out 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 Mai 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 Mai 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 Mai de 2020

Good and straight to point.

por SUGUNA M

19 de Nov de 2020

good project-based course

por K J

18 de Mai de 2020

Perfect and just right

por Gangone R

3 de Jul de 2020

very useful course

por Diego R G

19 de Mai de 2020

Great project!

por Richa G

6 de Jul de 2020

Nice Course.

por MARLA S K

9 de Mai de 2020

nice course

por Partheepan

9 de Abr de 2020

very useful

por Al A C

25 de Jul de 2020

great job!

por Arvind K V

19 de Mai de 2020

Osm course