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Avis et commentaires pour d'étudiants pour Ingénierie des fonctionnalités par Google Cloud

1,503 évaluations
161 avis

À propos du cours

Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models....

Meilleurs avis


Apr 09, 2020

This course covers a lot about the data pre-processing, and the tools available in Google Cloud to enable the gruelling tasks. Thanks very much for the lectures and training labs. Very informative.


Nov 26, 2018

It's a pretty interesting course, specially that's the only one that teaches featuring engineering with a focus on production issues, but it assumes some knowledge with apache beam, and dataflow.

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76 - 100 sur 161 Avis pour Ingénierie des fonctionnalités

par LUU Q V

May 06, 2020

Great content!

par Stephen Y

Apr 06, 2019

Great teaching

par R M

Jun 19, 2020

Good Learning

par Sofoniyas T D

May 01, 2020

Great indeed!

par Eric

Feb 02, 2019

Learned a lot

par Abdul R Y

Nov 28, 2018

Great Course!

par Serhan A

Jun 05, 2018

Great series!

par Phạm V T

Apr 17, 2020

Great course

par Filbert K

May 01, 2019

Thank you.

par Woojin J

Apr 30, 2019

nice & fun

par Nayanajith P

May 28, 2019

It's nice

par Kamlesh C

Jun 13, 2020


par 영신 박

Apr 29, 2019


par Toby H

Aug 18, 2018

Love it.

par Balasubramanian T K

Apr 13, 2020


par Bielushkin M

Nov 16, 2018


par Said A

Mar 22, 2019

A separate course to emphasise the role and importance of feature engineering in machine learning is what really got to me. With examples and explanation how your model can improve with feature engineering did the trick. Before, it was just a note in my notebook. Now, I really understand the importance of it.

However, having said that, the course could have been much shorter. It feels like, these courses are Google way of promoting its ML Cloud services.

par Yaron K

Jul 21, 2018

Feature Engineering is critical. The course attempts to explain both the principles of feature engineering and it's implementation on Google cloud in a few hours - and as a result both are short-changed. Note also that unlike other courses on Coursera you can't audit this course, can't download videos and some of the most insightful videos don't even have subtitles.

par Evren G

Nov 03, 2018

As ever excellent course content, the major let down and loss of star is because of the labs. There are no graded lab exercises where you have to think about and apply your theoretical learnings. Instead you get python notebooks that have completely prepopulated code. So the only thing you need to do is run the cells. A missed opportunity for excellent learning.

par Michal K

Aug 19, 2018

In general, this course is very well prepared, covers a good piece of material and I'm leaving it with a lot of new things to try. One thing I would correct in the future: more coding. Don't get me wrong, labs are quite good in terms of examples quality, but since everything is already there, it is difficult to "learn by doing".

par Sanket N

Apr 24, 2020

Course is explain feature engineering in such a way that is it is to understand what is purpose of it and also how to use it. Very good course.

One issue I found that, big query in second last model is not working. I have to search and fix issue in big query to run it. It is kind of distracting from main objective of Lab


par Francois R

Apr 17, 2019

Very interesting theory, shows the power of Tensorflow in the field. I had trouble with the last lab though, which when I ran it step by step, would block my qwiklab account because of resource limitations...

par Joe L

Nov 12, 2018

Great topics, the instructions are great. The only suggestion is cut down the number of different videos. just combine them together. 15 3 mins is not a great experience vs 3 15 min videos.

par Timothy L

Aug 21, 2018

Some of the labs had big query errors, and some of the google cloud interfaces changed, so careful when doing the labs, the options and the buttons may have been shifted or renamed

par Mahendra S C

Nov 24, 2019

Its a graet course team me one of the most important took "Apache Beam" I defiantly use this in my upcoming projects. I only give 4 star because of poor teaching by "Carl Osipov"