关于“運用 BigQuery ML 建立機器學習模型：挑戰實驗室”的评价

Done...

Miguel M. · 评论about 1 year之前

Krishna K. · 评论about 1 year之前

Krishna K. · 评论about 1 year之前

Travis H. · 评论about 1 year之前

Mehdi M. · 评论about 1 year之前

Alexander D. · 评论about 1 year之前

Andrew G. · 评论about 1 year之前

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. · 评论about 1 year之前

Aldhitya P. · 评论about 1 year之前

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

Nikos L. · 评论about 1 year之前

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. · 评论about 1 year之前

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. · 评论about 1 year之前

Lonnie Y. · 评论about 1 year之前

Takahide M. · 评论about 1 year之前

Divya S. · 评论about 1 year之前

Beatriz A. · 评论about 1 year之前

Chukwunonso I. · 评论about 1 year之前

Ykaro A. · 评论about 1 year之前

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. · 评论about 1 year之前

Ykaro A. · 评论about 1 year之前

Gabriel d. · 评论about 1 year之前

Arlimar J. · 评论about 1 year之前

Akash C. · 评论about 1 year之前

Md Afjal Q. · 评论about 1 year之前

Prashant S. · 评论about 1 year之前