Prepare Data for ML APIs on Google Cloud: Challenge Lab Reviews

Nguyễn Ngọc T. · Reviewed almost 3 years ago

Vũ Hoàng N. · Reviewed almost 3 years ago

notice ahead that there are two dataflow templates with the same name, one is in the batch section and the other, which is wrong, is in the stream section. It would be better if a warning box had been added to the statements.

Kuang-Lin P. · Reviewed almost 3 years ago

ARJUN N. · Reviewed almost 3 years ago

pablo m. · Reviewed almost 3 years ago

Patrick H. · Reviewed almost 3 years ago

Keerthivardhan T. · Reviewed almost 3 years ago

Karthik C. · Reviewed almost 3 years ago

Radhika I. · Reviewed almost 3 years ago

Karthik C. · Reviewed almost 3 years ago

Anila Jones M. · Reviewed almost 3 years ago

Harshini voruganti G. · Reviewed almost 3 years ago

Pushpa G. · Reviewed almost 3 years ago

Divish K. · Reviewed almost 3 years ago

Charles B. · Reviewed almost 3 years ago

VAMSI T. · Reviewed almost 3 years ago

2023 s. · Reviewed almost 3 years ago

Pretty tough but I'm relishing completing this challenge!

Winston S. · Reviewed almost 3 years ago

train c. · Reviewed almost 3 years ago

KHAIRUNNISYAK K. · Reviewed almost 3 years ago

cloud g. · Reviewed almost 3 years ago

For task 3 and 4 required result file type is application/json, but when api calls are made in VM (not cloud shell) and gsutil cp-ied from there, file type is application/octet

Maciej G. · Reviewed almost 3 years ago

Utsav S. · Reviewed almost 3 years ago

ROBERTO O. · Reviewed almost 3 years ago

Nagalakshmi T. · Reviewed almost 3 years ago