Avis et commentaires pour d'étudiants pour Unsupervised Machine Learning for Customer Market Segmentation par Coursera Project Network

One of the BEST Guided projects I've done so far. The instructor did his best to elaborate every code & entities in details. This is a must-take Guided Project for all of those who want to know about "Unsupervised Machine Learning for Customer Market Segmentation"

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

This project is quite explanatory and fun. Thanks to Ryan Ahmed and Coursera.....now I'm good to go on Customer Market Segmentation.

One of the best guided projects I have done so far. The instructor does their best in teaching what each part of the code entails.

Really well explained guided course that has given me a good foundational skill to build on with my datasets at work

I still could not find the Video that should I learn and study. How could I take the assignment if I have not yet got or haven't seen the Video Learning about Unsupervised Machine Learning for Customer Market Segmentation? Please help me to solve this problem, Thank Very Much for your kind attention.

I am a Doctorate Student at IPB Indonesia

Awesome course with interesting project. I learned a lot and something new. Thanks much for teaching and sharing this course. Highly recommend it if anyone wants to learn how to do market segmentation using K-Means and PCA. Very thorough with great explanation. Will look forward to other courses from the instructor, Ryan Ahmed.

Muy bueno el curso, tenía ganas de tomarlo desde hace un tiempo. El profesor explica bien y los conceptos son sencillos de entender. Puede tomar más tiempo del que se indica en la descripción. Satisfecho con lo aprendido.

Very good course! easy to understand and practical coding. However I expect more explaination of the PCA and what if the PCA/Kmeans result is not so beautiful? how to deal with it?

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

Great instructor. Should know Python prior to taking the course to get the most out of the project.

This course material is very precise and offered me good understanding on k-means algorithm.

This is an excellent project-based course, with the right mix of theory and code.

Très instructif pour aborder le domaine de machine learning. J'ai bien apprécié !

great. I understand some concepts of k means by doing the example.

Great short course on one method of unsupervised machine learning.

The Prof. Ryan Ahmed is soooo Genius, thank you Prof.

Good details and explaination. Focussed learning

Kindly e-mail the notebook I did my project on

Good Practical Start, for a Beginner!

Very good explanation and structure.

Well organised, enjoy learning

Very well explained topics.

Good course for beginners.

Well taught and explained!