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Learner Reviews & Feedback for Feature Engineering by Google Cloud

4.5
stars
1,755 ratings

About the Course

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow....

Top reviews

GS

Apr 8, 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.

OA

Nov 25, 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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126 - 150 of 196 Reviews for Feature Engineering

By CY J

Jan 27, 2020

Good to learn the Feature Engineering. Tried all of Graded External Tool using Cloud Shell because AI Platform Notebooks doesn't work.

By Harm t M

Mar 13, 2019

This was hard. Not directly applicable to where I am in my machine learning career, but good to know in the future, nonetheless...

By Keith H

Sep 1, 2019

Love the course but this specialization is fairly complex and is new type of thinking as such take a bit of understanding.

By Gregory R G J

Jan 30, 2019

Thumbs sideways.

I learned a ton but it appears as technology grows and changes updates to the platform is sort of static.

By Zezhou J

Nov 9, 2018

The content is quite rich in this course. I feel decomposing it into two weeks might make it structurally more clear.

By Frederik C

Nov 18, 2019

Very well explained, lost time during tutorials because of apache beam version conficts with google cloud dataflow

By Roberto T

Jan 11, 2020

starts off with a bang, and generally excellent. the tf.transom section needs a bit of freshening and refocusing

By Vamsi K B

Mar 11, 2020

This course gives an ample understanding on the significance of Features and Data in Machine learning.

By Attila B

Dec 8, 2018

Really comprehensive course.Was a bit tough to follow sometimes,but guess it's just beginners problem.

By RIJO R

Sep 8, 2020

Good Course, helped me to learn something new about GCS and feature learning. Thanks for this course.

By Emily T

Jul 5, 2019

This course really needs more hands on work with code, but it was still good and I learned lots.

By Sandeep K

Jul 29, 2018

this was really good, except removed one start for trifacta integration of dataflow lab.

By Srichakradhar R N (

Dec 13, 2018

Felt like it was cut short at the end. Would like to see a bit more on the tf.transform

By borja v

Jun 21, 2019

the course needs some code upgrades because of ML engine is close to be depecreated

By Jiong S W

Apr 15, 2022

Good guidance more detailed explanations then it would be perfect.

By ThemisZ

Feb 4, 2020

very nice course , -1 star for no pdf/ppt notes made available

By Alexander Z

Dec 29, 2018

great content and cool notebooks ... sometimes hard to follow

By Marcos H

Nov 8, 2018

Very practical and Lak is a great teacher and communicator!

By fernandes m

May 15, 2020

Maybe a little more example of how deal with features.

By Malithi N

May 25, 2020

This course explains theories nicely with labs

By Joel M

Dec 6, 2018

good clear instructions, and valuable content.

By Anupam P

Aug 26, 2019

Comprehensive yet precise and clear.

By Rohit K A

Dec 24, 2018

No course material for reference

By Michael C

Nov 29, 2020

Very important information here

By Rahul K

May 5, 2019

Lovely Course. Thanks Google