Create ML Models with BigQuery ML: Challenge Lab Reviews

Amanda B. · Reviewed أكثر من سنة ago

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Iker A. · Reviewed أكثر من سنة ago

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vivek k. · Reviewed أكثر من سنة ago

Amanda B. · Reviewed أكثر من سنة ago

Sijo Jose C. · Reviewed أكثر من سنة ago

buggy

Joseph J. · Reviewed أكثر من سنة ago

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Mehdi M. · Reviewed أكثر من سنة ago

Sivakumar V. · Reviewed أكثر من سنة ago

krishna k. · Reviewed أكثر من سنة ago

Done...

Miguel M. · Reviewed أكثر من سنة ago

Krishna K. · Reviewed أكثر من سنة ago

Krishna K. · Reviewed أكثر من سنة ago

Travis H. · Reviewed أكثر من سنة ago

Mehdi M. · Reviewed أكثر من سنة ago

Alexander D. · Reviewed أكثر من سنة ago

Andrew G. · Reviewed أكثر من سنة 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 أكثر من سنة ago

Aldhitya P. · Reviewed أكثر من سنة ago

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

Nikos L. · Reviewed أكثر من سنة 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 أكثر من سنة ago