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學生對 Coursera Project Network 提供的 Unsupervised Machine Learning for Customer Market Segmentation 的評價和反饋

4.7
304 個評分

課程概述

In this hands-on guided project, we will train unsupervised machine learning algorithms to perform customer market segmentation. Market segmentation is crucial for marketers since it enables them to launch targeted ad marketing campaigns that are tailored to customer's specific needs. Note: 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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GV

2020年9月14日

best practical course to understand unsupervised learning.faculty was precise and clear hoping to complete other courses from the faculty

TT

2020年9月16日

Wonderful course to understand clustering basics. Ryan teaches the concepts as well as gives hands on practice in a very simplified way.

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26 - Unsupervised Machine Learning for Customer Market Segmentation 的 44 個評論(共 44 個)

創建者 PAVITHRA B

2020年8月19日

Very useful and excellent

創建者 Raj v

2020年7月17日

Very well explained.

創建者 Fernando M d S C

2022年8月12日

Excellent teacher.

創建者 Gangone R

2020年7月2日

very useful course

創建者 061_SAMRIDDHI C

2020年8月23日

Good Experience!

創建者 Cherry I T

2020年7月5日

try this course

創建者 Muhammad M

2020年12月26日

informative

創建者 121910403027 M U N B

2020年12月5日

super mama

創建者 BOULASSEL A

2020年10月5日

thank you

創建者 Gaikwad N

2020年7月24日

good

創建者 p s

2020年6月26日

Good

創建者 tale p

2020年6月24日

good

創建者 Vajinepalli s s

2020年6月18日

nice

創建者 Neha

2020年6月23日

,

創建者 Blaise R

2021年3月20日

Concepts explained well. I think the only task this project lacks is the final testing part after the model is built. I would have loved to see how different inputs gets us different results and how we interpret this outputs.

Learned new concepts as ' elbow method' but didn't quite understand use of PCA here and how it helps to predict cluster for new data.

(Note to instructors;- I really love your projects and teaching style. I would really love if you end the projects well with testing on new data and showing how the model predicts the clusters or sentiments in case of your NLF project. Thank you)

創建者 Heinz D

2020年7月12日

Motivating teacher, thank you. The lecture subtitles (if activated) contain lots of distracting errors. One quiz bullet list answer is misspelled. Rhyme is a tool one must get used to: the keyboard layout is strange (e.g. for the = character) and I could not find out how to download lecture transcripts or my notebook.

創建者 LAGISETTY S S

2020年7月4日

The guidance was wonderful, I would give a 5 star if the resources were provided

創建者 Lucky A

2020年7月4日

This is good course but it can be more detailed.

創建者 Maya B

2020年8月7日

helpful project