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Вернуться к Unsupervised Machine Learning for Customer Market Segmentation

Отзывы учащихся о курсе Unsupervised Machine Learning for Customer Market Segmentation от партнера Coursera Project Network

4.7
звезд
Оценки: 302
Рецензии: 43

О курсе

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....

Лучшие рецензии

GV

14 сент. 2020 г.

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

TT

16 сент. 2020 г.

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

Фильтр по:

26–43 из 43 отзывов о курсе Unsupervised Machine Learning for Customer Market Segmentation

автор: PAVITHRA B

19 авг. 2020 г.

Very useful and excellent

автор: Raj v

17 июля 2020 г.

Very well explained.

автор: Gangone R

2 июля 2020 г.

very useful course

автор: 061_SAMRIDDHI C

23 авг. 2020 г.

Good Experience!

автор: Cherry I T

5 июля 2020 г.

try this course

автор: Muhammad M

26 дек. 2020 г.

informative

автор: 121910403027 M U N B

5 дек. 2020 г.

super mama

автор: BOULASSEL A

5 окт. 2020 г.

thank you

автор: Gaikwad N

24 июля 2020 г.

good

автор: p s

26 июня 2020 г.

Good

автор: tale p

24 июня 2020 г.

good

автор: Vajinepalli s s

18 июня 2020 г.

nice

автор: Neha

23 июня 2020 г.

,

автор: Blaise R

20 мар. 2021 г.

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)

автор: Heinz D

12 июля 2020 г.

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.

автор: LAGISETTY S S

4 июля 2020 г.

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

автор: Lucky A

4 июля 2020 г.

This is good course but it can be more detailed.

автор: Maya B

7 авг. 2020 г.

helpful project