Create ML Models with BigQuery ML: Challenge Lab Reviews

Omar E. · Reviewed 9 ay ago

Juan Pablo I. · Reviewed 9 ay ago

Alejandro A. · Reviewed 9 ay ago

Paul Cyrille H. · Reviewed 9 ay ago

Aaron K. · Reviewed 9 ay ago

Pankaj B. · Reviewed 9 ay ago

JOSE E. · Reviewed 9 ay ago

JOSE E. · Reviewed 9 ay ago

great lab

Karim A. · Reviewed 9 ay ago

TANIA ALEJANDRA L. · Reviewed 9 ay ago

JOSE E. · Reviewed 9 ay ago

Mohammad R. · Reviewed 9 ay ago

JOSE E. · Reviewed 9 ay 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 ay ago

João T. · Reviewed 9 ay ago

krishna b. · Reviewed 9 ay ago

Pushpendra Y. · Reviewed 9 ay ago

Takahide M. · Reviewed 9 ay ago

Rajeswari P. · Reviewed 9 ay ago

Girish K. · Reviewed 9 ay ago

Denise T. · Reviewed 9 ay ago

Aditya S. · Reviewed 9 ay ago

Great

Pramod K. · Reviewed 9 ay ago

Asif M. · Reviewed 9 ay 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 ay ago