Create ML Models with BigQuery ML: Challenge Lab Reviews

vivek k. · Reviewed 12 месяцев ago

Amanda B. · Reviewed 12 месяцев ago

Sijo Jose C. · Reviewed 12 месяцев ago

buggy

Joseph J. · Reviewed 12 месяцев ago

Susana D. · Reviewed 12 месяцев ago

Shivaji D. · Reviewed 12 месяцев ago

Mehdi M. · Reviewed 12 месяцев ago

Sivakumar V. · Reviewed 12 месяцев ago

krishna k. · Reviewed 12 месяцев ago

Done...

Miguel M. · Reviewed 12 месяцев ago

Krishna K. · Reviewed 12 месяцев ago

Krishna K. · Reviewed 12 месяцев ago

Travis H. · Reviewed 12 месяцев ago

Mehdi M. · Reviewed 12 месяцев ago

Alexander D. · Reviewed 12 месяцев ago

Andrew G. · Reviewed 12 месяцев 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 12 месяцев ago

Aldhitya P. · Reviewed 12 месяцев ago

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

Nikos L. · Reviewed 12 месяцев 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 12 месяцев 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 12 месяцев ago

Lonnie Y. · Reviewed 12 месяцев ago

Takahide M. · Reviewed 12 месяцев ago

Divya S. · Reviewed 12 месяцев ago

Beatriz A. · Reviewed 12 месяцев ago