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學生對 Coursera Project Network 提供的 Image Compression with K-Means Clustering 的評價和反饋

4.6
274 個評分
46 條評論

課程概述

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....

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RD
2020年6月28日

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

HM
2020年3月29日

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

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1 - Image Compression with K-Means Clustering 的 25 個評論(共 46 個)

創建者 Ashok G

2020年4月17日

useful

創建者 Dhananjay J

2020年9月21日

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

創建者 Raj D

2020年6月29日

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

創建者 Harsh m

2020年3月29日

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

創建者 Vishnu N

2020年10月25日

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

創建者 Mayank S

2020年4月26日

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

創建者 TEJENDER S

2020年4月12日

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

創建者 Mir T

2020年6月13日

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

創建者 SHUBHAM S

2020年5月14日

Amazing high level guide with implementation.....

創建者 Satish k J

2020年6月6日

Great mage Compression with K-Means Clustering

創建者 Abhishek D

2020年6月28日

The project done is really good for beginners.

創建者 Chandrasekhara S V

2020年8月1日

Nice course and is taught extremely well.

創建者 Anvay R A

2020年6月1日

Great hands on experience !!!

創建者 Chandra J

2020年5月14日

very good and simple to learn

創建者 Nitesh R

2020年6月8日

great guided project course

創建者 Mohanad A N

2020年5月29日

Good and straight to point.

創建者 SUGUNA M

2020年11月19日

good project-based course

創建者 K J

2020年5月18日

Perfect and just right

創建者 Gangone R

2020年7月3日

very useful course

創建者 Diego R G

2020年5月19日

Great project!

創建者 Richa G

2020年7月6日

Nice Course.

創建者 MARLA S K

2020年5月9日

nice course

創建者 Partheepan

2020年4月9日

very useful

創建者 Al A C

2020年7月25日

great job!

創建者 Arvind K V

2020年5月19日

Osm course