关于“運用 BigQuery ML 建立機器學習模型：挑戰實驗室”的评价

Iker A. · 评论12 months之前

Manuel Angel A. · 评论12 months之前

Mehdi M. · 评论12 months之前

vivek k. · 评论12 months之前

Amanda B. · 评论12 months之前

Sijo Jose C. · 评论12 months之前

buggy

Joseph J. · 评论12 months之前

Susana D. · 评论12 months之前

Shivaji D. · 评论12 months之前

Mehdi M. · 评论12 months之前

Sivakumar V. · 评论12 months之前

krishna k. · 评论12 months之前

Done...

Miguel M. · 评论12 months之前

Krishna K. · 评论12 months之前

Krishna K. · 评论12 months之前

Travis H. · 评论12 months之前

Mehdi M. · 评论12 months之前

Alexander D. · 评论12 months之前

Andrew G. · 评论12 months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12 months之前

Aldhitya P. · 评论12 months之前

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

Nikos L. · 评论12 months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12 months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12 months之前

Lonnie Y. · 评论12 months之前