good

Good

good

ok

Tive problemas no Laboratório - Training with Pre-built ML Models using Cloud Vision API and AutoML. Quando tenta acessar as fotos para treinameto dá essa mensagem: AccessDeniedException:403 para acesso ao Google cloud Storage Bucket no cloud shell Terminal

Tive problemas no laboratório - Predicting Visitor Return Purchases with BigQuery. Um dos passos de verificação não foi reconhecido como concluido, mesmo eu tendo feito da forma correta, os passos seguintes consegui fazer, por isso minha nota ficou 83,3%, apesar de ter feito tudo da forma correta, o que deveria ser 100%.

The real course starts on the second week.

The instructor is very good at delivering the topic. The material itself is good, although I hope we have one more week to better analyze the parameter inside the ML function in Big Query. So, a great course, but could be better.

Good course, well explained. The instructor was engaging and friendly. Having us create our own ML model without providing the SQL query for it in advance would be challenging and certainly some very good practice.

This course is pretty interesting. The most interesting of the whole specialization. The labs are cool, but it's all copy & paste. It'd have been nice to have to come up with some solutions myself.

A very good course . Hands on labs provide an experience of real time analysis of data . The instructor is amazing.Some of the labs needs to be updated according to current features.

wow this course is SO MUCH BETTER THAN THE PRIOR, I THINK ITS THE BEST. Thank U Evan.

BUT THERE IS A LOT OF ISSUE WITH COURSERA. SERIOUSLY FIX IT BRUH

this is a very great course. I just recommend to make the labs more intensive and add challenges for the students

thank you!

The course is simple, but for better use, it is important to have a minimum knowledge of Google Cloud tools.

It would be nice if the labs had additional/different code then the one explained over the videos.

It's a really great theoretical course, but the labs need to be bug-fixed and/or updated

Overall, this course is easy to understand and practical. Not much technical jargon.

Good introduction to ml for me given i had no previous knowledge on the basics.

Course was simple to understand and very effective with good syllabus

Lot of insight, maybee more checks for the labs and self development

Increase up the volume of video, content is best

Very difficult and fun

Almost perfect

Nice Course.

VERY GOOD

This is a very uneven course. There is some good material in the latter stages, but the initial coverage is very superficial. Some of the labs appear to have been lifted from Google's standard demos that you can find on the web. The qwiklabs tool is very tiresome, timing out your session after 90 mins, which means that on the more interesting lab there isn't time for proper exploration before your datalab session is reset (and lost). This seems unnecessary and mars what could have been very interesting.

I very disliked this module because of the accelerated labs in the end. I felt the the material of the last lab was worthy to invest at least a week of work. I also think that the 90 minutes lapse on Quicklab to finish the lab was not well suited for comprehensively studying the lab content. I would like to have had more time for experimenting by myself.