Create ML Models with BigQuery ML: Challenge Lab Reviews

Aaron K. · Reviewed 9 months ago

Pankaj B. · Reviewed 9 months ago

JOSE E. · Reviewed 9 months ago

JOSE E. · Reviewed 9 months ago

great lab

Karim A. · Reviewed 9 months ago

TANIA ALEJANDRA L. · Reviewed 9 months ago

JOSE E. · Reviewed 9 months ago

Mohammad R. · Reviewed 9 months ago

JOSE E. · Reviewed 9 months ago

Very disappointing. 1) The dataset is not clearly specified, the features neither (is the goal to check per unique visitor or per session?) 2) in the assignment, two contradicting instructions are given: "Also you have to specify the model type as binary logistic regression" and 2 lines below "Use the model type as linear regression model" - the second doesn't make sense for binary classification (will or won't buy). 3) No specification on how to deal with train-validation split; some labs have the split, some don't, it's ambiguous 4) even after trying all combinations (even with the linear regression, i.e. fitting the number of transactions as if it were float) the result gets NOT verified by the module. I got the data and trained a model myself separated from GCP and got THE SAME results as here, so obviously the model is well trained. Sad work out there, sorry.

Darina L. · Reviewed 9 months ago

João T. · Reviewed 9 months ago

krishna b. · Reviewed 9 months ago

Pushpendra Y. · Reviewed 9 months ago

Takahide M. · Reviewed 9 months ago

Rajeswari P. · Reviewed 9 months ago

Girish K. · Reviewed 9 months ago

Denise T. · Reviewed 9 months ago

Aditya S. · Reviewed 9 months ago

Great

Pramod K. · Reviewed 9 months ago

Asif M. · Reviewed 9 months ago

It is important to make the instruction clearer stating that the student is to use already trained models and not to train another subscriber_type model. It can be confusing

GALINA K. · Reviewed 9 months ago

Fredrick Barasa O. · Reviewed 9 months ago

Changming C. · Reviewed 9 months ago

Smita W. · Reviewed 9 months ago

ok

Dipak V. · Reviewed 9 months ago