Create ML Models with BigQuery ML: Challenge Lab Reviews

buggy

Joseph J. · Reviewed over 1 year ago

Susana D. · Reviewed over 1 year ago

Shivaji D. · Reviewed over 1 year ago

Mehdi M. · Reviewed over 1 year ago

Sivakumar V. · Reviewed over 1 year ago

krishna k. · Reviewed over 1 year ago

Done...

Miguel M. · Reviewed over 1 year ago

Krishna K. · Reviewed over 1 year ago

Krishna K. · Reviewed over 1 year ago

Travis H. · Reviewed over 1 year ago

Mehdi M. · Reviewed over 1 year ago

Alexander D. · Reviewed over 1 year ago

Andrew G. · Reviewed over 1 year ago

Unclear language. Also the instruction itself. Lack the details. I've lost several hours on trying to guess what is wrong and FAILED. Misleading parts of the instructions: - "Also you have to specify the model type as binary logistic regression... Use the model type as linear regression model" - "create a dataset with the dataset ID 'bq_dataset' ... Create a model ... in the precreated dataset 'bqml_dataset'"... with each attempt I was trying to create my model in each of these databases... It is not said which day partitions should be used for training when there are lots of them. And for evaluation. Evaluation by users, not explicitly said which column it is. userId and visitorId columns are always NULL. Google analytics is not known to every user, and it is not mentioned as a prerequisite for this exercise. That's why it's important to clearly describe the columns to be used. Or maybe the error messages could be more helpful. Now they say "create a model... in dataset"... and it's created but the check fails. Sometimes checking progress shows failure for some time, and after some time returns success without changing anything.

Wojciech C. · Reviewed over 1 year ago

Aldhitya P. · Reviewed over 1 year ago

task 4 always give me errors. Needs further instructions even though I have an output

Nikos L. · Reviewed over 1 year ago

Sometimes checking progress shows failure for some time, and after some time returns success without changing anything. You often ask to create a dataset e.g. 'bq_dataset' and then ask to create a model in different but similar dataset e.g. 'bqml_dataset'. It's misleading. Often it's not directly shown where the data is located (Google analytics tables) or not said which day partitions should be used for training when there are lots of them. This task assumes good knowledge of Google Analytics, but it's not introduced earlier... and it's not fair in my opinion.

Wojciech C. · Reviewed over 1 year ago

It was good but a bit repetived, i would like to create a model in a new dataset, maybe something simple like a iris datset or the housing dataset and leet the user chose his features

Antonio O. · Reviewed over 1 year ago

Lonnie Y. · Reviewed over 1 year ago

Takahide M. · Reviewed over 1 year ago

Divya S. · Reviewed over 1 year ago

Beatriz A. · Reviewed over 1 year ago

Chukwunonso I. · Reviewed over 1 year ago

Ykaro A. · Reviewed over 1 year ago

The second or third progress check was returning Failure for long time, and then without any changes it returned Success. The instruction for the task 4 was not precise.

Wojciech C. · Reviewed over 1 year ago