In contrast to other courses in this specialization, this course had some meat in it and was more than just a thinly disguised ad for Google Services.

The course was very informative, but I think that there are opportunities for the student to have to figure out how to do more portions of the labs.

It contains great content for beginners and it was clear ! only thing is the lab session can be interactive rather than running the cells !

faced multiple issues

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

b) labs were not as interesting as others

Nicely explained concepts with real world examples! Could have explain more about the code and the meaning behind some of the qwiklabs.

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

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

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

Thumbs sideways.

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

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

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

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

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

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

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

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

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

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

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

should have been a lab for Apache Bean on Dataflow and Tensorflow transformation

Good guidance more detailed explanations then it would be perfect.

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

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

Very practical and Lak is a great teacher and communicator!

Maybe a little more example of how deal with features.