Create ML Models with BigQuery ML: Challenge Lab recensioni

Lorenzo S. · Recensione inserita oltre un anno fa

Iker A. · Recensione inserita oltre un anno fa

Manuel Angel A. · Recensione inserita oltre un anno fa

Mehdi M. · Recensione inserita oltre un anno fa

vivek k. · Recensione inserita oltre un anno fa

Amanda B. · Recensione inserita oltre un anno fa

Sijo Jose C. · Recensione inserita oltre un anno fa

buggy

Joseph J. · Recensione inserita oltre un anno fa

Susana D. · Recensione inserita oltre un anno fa

Shivaji D. · Recensione inserita oltre un anno fa

Mehdi M. · Recensione inserita oltre un anno fa

Sivakumar V. · Recensione inserita oltre un anno fa

krishna k. · Recensione inserita oltre un anno fa

Done...

Miguel M. · Recensione inserita oltre un anno fa

Krishna K. · Recensione inserita oltre un anno fa

Krishna K. · Recensione inserita oltre un anno fa

Travis H. · Recensione inserita oltre un anno fa

Mehdi M. · Recensione inserita oltre un anno fa

Alexander D. · Recensione inserita oltre un anno fa

Andrew G. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa

Aldhitya P. · Recensione inserita oltre un anno fa

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

Nikos L. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa

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. · Recensione inserita oltre un anno fa