Preparação de dados para APIs de ML no Google Cloud: laboratório com desafio avaliações

Felipe B. · Revisado há over 2 years

Rafael O. · Revisado há over 2 years

Mateus S. · Revisado há over 2 years

NICOLAS . R. · Revisado há over 2 years

Vijayakrishnan M. · Revisado há over 2 years

CAMILO JOSE D. · Revisado há over 2 years

Jessica M. · Revisado há over 2 years

Geraldyne R. · Revisado há over 2 years

BharathKumar R. · Revisado há over 2 years

Tomas B. · Revisado há over 2 years

Gustavo d. · Revisado há over 2 years

This is a difficult lab and there's no feedback on what the error might be.

Brent D. · Revisado há over 2 years

SHIT DONT WORK!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

Marek M. · Revisado há over 2 years

Josephine N. · Revisado há over 2 years

Tiago R. · Revisado há over 2 years

Luis Fernando F. · Revisado há over 2 years

Chiranth s P. · Revisado há over 2 years

Rajesh K. · Revisado há over 2 years

This is a difficult lab and there's no feedback on what the error might be.

Brent D. · Revisado há over 2 years

This is a difficult lab and there's no feedback on what the error might be.

Brent D. · Revisado há over 2 years

Sayan D. · Revisado há over 2 years

Caio P. · Revisado há over 2 years

Generally good but the requirement for validating the API calls was unclear. I outputted the result directly to a .result file on my filesystem and uploaded that with gsutil, which it didn't accept (although this is a perfectly valid Linux command). It only validated it as correct when I piped the output to a .json file, and then did the rename at the gsutil upload stage. This is poor validation since both ways are correct.

Jacqueline P. · Revisado há over 2 years

Amala K. · Revisado há over 2 years

Shaik Mohammed J. · Revisado há over 2 years