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特徴エンジニアリング に戻る

特徴エンジニアリング, Google Cloud



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: <<<...


by OA

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.

by P

Mar 07, 2019

The content is great, not just from a technical point of view but for all the know-how that the different instructors share during in the videos and labs.



by Fathima jabbar

May 09, 2019

great course and very intrsting

by Rahul Kumar

May 05, 2019

Lovely Course. Thanks Google

by Terry Lee

May 01, 2019

개요를 알게 되서 좋음

by Filbert Kwon

May 01, 2019

Thank you.

by Woojin Jeong

Apr 30, 2019

nice & fun

by 영신 박

Apr 29, 2019


by Maheboob Patel

Apr 21, 2019

faced multiple issues

a)Qwiklab wasnt allowing to login with error that said "account is locked"

b) labs were not as interesting as others

by Bill Fugaru

Apr 20, 2019

Excellent course, great trainers.

by Francois Ragnet

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...

by Arman Ahmed

Apr 11, 2019

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.