Opinie (Create ML Models with BigQuery ML: Challenge Lab)

vivek k. · Sprawdzono około rok temu

Amanda B. · Sprawdzono około rok temu

Sijo Jose C. · Sprawdzono około rok temu

buggy

Joseph J. · Sprawdzono około rok temu

Susana D. · Sprawdzono około rok temu

Shivaji D. · Sprawdzono około rok temu

Mehdi M. · Sprawdzono około rok temu

Sivakumar V. · Sprawdzono około rok temu

krishna k. · Sprawdzono około rok temu

Done...

Miguel M. · Sprawdzono około rok temu

Krishna K. · Sprawdzono około rok temu

Krishna K. · Sprawdzono około rok temu

Travis H. · Sprawdzono około rok temu

Mehdi M. · Sprawdzono około rok temu

Alexander D. · Sprawdzono około rok temu

Andrew G. · Sprawdzono około rok temu

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. · Sprawdzono około rok temu

Aldhitya P. · Sprawdzono około rok temu

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

Nikos L. · Sprawdzono około rok temu

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. · Sprawdzono około rok temu

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. · Sprawdzono około rok temu

Lonnie Y. · Sprawdzono około rok temu

Takahide M. · Sprawdzono około rok temu

Divya S. · Sprawdzono około rok temu

Beatriz A. · Sprawdzono około rok temu