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Avis et commentaires pour l'étudiant pour Ingénierie des fonctionnalités par Google Cloud

1,156 notes
110 avis

À propos du cours

Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering on Google Cloud Platform where we will discuss the elements of good vs bad features and how you can preprocess and transform them for optimal use in your machine learning models. In this course you will get hands-on practice choosing features and preprocessing them inside of Google Cloud Platform with interactive labs. Our instructors will walk you through the code solutions which will also be made public for your reference as you work on your own future data science projects. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<< COMPLETION CHALLENGE Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details....

Meilleurs avis


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.


Sep 23, 2019

Feature engineering is important but less discussed compared to general ML or DNN. Feature cross is a new concept and yet very useful for dealing with large datasets.

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26 - 50 sur 111 Examens pour Ingénierie des fonctionnalités

par Marc-andre B

Jun 14, 2018

Great course except for the sneaky quiz for dataprep

par Stephen P

Jun 14, 2018

Very informative, however in part 5 (iirc) the lab did not match up with the summary video

par kishore k r k

Sep 08, 2018

Best course content in this specialization!!

par Russell H

Sep 24, 2018

A lot of great material that I have not seen covered other ML courses so far. My only complaint is that there is way too much material for a single week. It felt like it should be spread over two weeks at least.

par Harold L M M

Sep 26, 2018

Excellent course! One of the most important in this specialization.

I learned a lot!

Thank you very much Google Team!

par Gustavo M

Aug 27, 2018

Probably the most important part of the specialization, and where I learned the most

par RLee

Aug 14, 2018

Lak is awesome in his well-thought explanations!

par Aditya h

Aug 14, 2018

Best course in the series so far! liked the labs, a bit heavy and challenging at the same time

par Juan P D P

Aug 31, 2018

A highly sofisticated course about feature engineering and tensorflow union with tf.transform.

par Toby H

Aug 18, 2018

Love it.

par Enrico A

Oct 27, 2018

This module covers a lot of tricks that should be employed during preprocessing to improve the prediction accuracy of machine learning methods.

par 林佳佑

Oct 04, 2018

This course teach how to do feature engineering is very useful in working

par Morris C

Oct 28, 2018

It worth to take 2nd times for practice in real world ML feature engineering.

par Shigeo M

Oct 31, 2018

Various enhancements in demonstrating a practical case in feature engineering, starting from ELT through training, evaluating, and lauching an ML engine, taught with a lot of enthusiasm. Recaps of relevant ideas in statistics, algebra and calculus we learned back in our school days (things that some of us "used to know") kind of helped.

par Elias P

Nov 02, 2018

It was the most difficult from all 4 until now, BUT it was worthing the effort!

par Amir K

Nov 08, 2018

this is the most interesting part

par 서영웅

Oct 24, 2018

If you want to become AI and Data Engineering jobs, It is really helpful for you.

par Bielushkin M

Nov 16, 2018


par Wolfgang G

Jul 22, 2018

Very, very comprehensive deep dive into the "real" stuff. tf.transform truly rocks, guys!

par Jay M

Oct 14, 2018

Awesome course learned practical things

par Sinan G

Sep 06, 2018

The course provides an overview and details of a very varied, comprehensive, and advanced range of possibilities to do feature engineering. Because the software and API's presented have a lot of details you will have to work a lot more with the information provided to attain a "hands-on" feeling. However you get a good starting point and knowledge of the possibilities.

par Meynardo J

Jul 28, 2018

Very good stuff on feature engineering overall. Feature cross was new to me and looked very promising, and tf.transform was awesome.

par Subham T

Jul 31, 2018

Best course to learn feature engineering

par Filbert K

May 01, 2019

Thank you.

par Bill F

Apr 20, 2019

Excellent course, great trainers.