Membuat Model ML dengan BigQuery ML: Challenge Lab Ulasan

krishna k. · Diulas sekitar 1 tahun lalu

Done...

Miguel M. · Diulas sekitar 1 tahun lalu

Krishna K. · Diulas sekitar 1 tahun lalu

Krishna K. · Diulas sekitar 1 tahun lalu

Travis H. · Diulas sekitar 1 tahun lalu

Mehdi M. · Diulas sekitar 1 tahun lalu

Alexander D. · Diulas sekitar 1 tahun lalu

Andrew G. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Aldhitya P. · Diulas sekitar 1 tahun lalu

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

Nikos L. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Lonnie Y. · Diulas sekitar 1 tahun lalu

Takahide M. · Diulas sekitar 1 tahun lalu

Divya S. · Diulas sekitar 1 tahun lalu

Beatriz A. · Diulas sekitar 1 tahun lalu

Chukwunonso I. · Diulas sekitar 1 tahun lalu

Ykaro A. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Ykaro A. · Diulas sekitar 1 tahun lalu

Gabriel d. · Diulas sekitar 1 tahun lalu

Arlimar J. · Diulas sekitar 1 tahun lalu

Akash C. · Diulas sekitar 1 tahun lalu

Md Afjal Q. · Diulas sekitar 1 tahun lalu