Criar modelos de ML com o BigQuery ML: laboratório com desafio avaliações

40699 avaliações

Wanda W. · Revisado há about 1 year

Cristian C. · Revisado há about 1 year

Angel K. · Revisado há about 1 year

Rohith T. · Revisado há about 1 year

Cheng Ee L. · Revisado há about 1 year

Takahide M. · Revisado há about 1 year

Aaron K. · Revisado há about 1 year

The verification button did not work properly even thought I followed the instructions.

Frank Worman G. · Revisado há about 1 year

Pranav V. · Revisado há about 1 year

Omar E. · Revisado há about 1 year

Juan Pablo I. · Revisado há about 1 year

Alejandro A. · Revisado há about 1 year

Paul Cyrille H. · Revisado há about 1 year

Aaron K. · Revisado há about 1 year

Pankaj B. · Revisado há about 1 year

JOSE E. · Revisado há about 1 year

JOSE E. · Revisado há about 1 year

great lab

Karim A. · Revisado há about 1 year

TANIA ALEJANDRA L. · Revisado há about 1 year

JOSE E. · Revisado há about 1 year

Mohammad R. · Revisado há about 1 year

JOSE E. · Revisado há about 1 year

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. · Revisado há about 1 year

João T. · Revisado há about 1 year

krishna b. · Revisado há about 1 year

Não garantimos que as avaliações publicadas sejam de consumidores que compraram ou usaram os produtos. As avaliações não são verificadas pelo Google.