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

UZIEL S. · Reviewed 6 months ago

2511CS030347- D. · Reviewed 6 months ago

25EU05R0205 - D. · Reviewed 6 months ago

manne s. · Reviewed 6 months ago

Ignacio L. · Reviewed 6 months ago

Sanikommu L. · Reviewed 6 months ago

Yamini M G. · Reviewed 6 months ago

25EU06R0255 - P. · Reviewed 6 months ago

2511CS030166- M. · Reviewed 6 months ago

Amith . · Reviewed 6 months ago

A12_B1_20 S. · Reviewed 6 months ago

Sunil T. · Reviewed 6 months ago

1me23cs 1. · Reviewed 6 months ago

João V. · Reviewed 6 months ago

25EU10R0081 - V. · Reviewed 6 months ago

I’m unable to complete the Dataflow task in the Challenge Lab because of a persistent "ZONE_RESOURCE_POOL_EXHAUSTED" error in the us-east1 region. I’ve tried multiple zones and machine types, but no resources are available. It’s very frustrating to fail a lab due to a cloud stockout rather than a configuration error. Please look into the resource capacity for the study jam environments.

동규 이. · Reviewed 6 months ago

sujeet G. · Reviewed 6 months ago

Raavi M. · Reviewed 6 months ago

25EU07R0039 - P. · Reviewed 6 months ago

Boini S. · Reviewed 6 months ago

subbareddy k. · Reviewed 6 months ago

Michel A. · Reviewed 6 months ago

H Y. · Reviewed 6 months ago

Michel A. · Reviewed 6 months ago

MD Asif I. · Reviewed 6 months ago