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

Aryan G. · Reviewed 4 months ago

Dileep K. · Reviewed 4 months ago

Gowtham S. · Reviewed 4 months ago

Vedant B. · Reviewed 4 months ago

Vedant B. · Reviewed 4 months ago

Narasimha R. · Reviewed 4 months ago

Rakesh B. · Reviewed 4 months ago

Dileep K. · Reviewed 4 months ago

Mridul P. · Reviewed 4 months ago

SAMINENI V. · Reviewed 4 months ago

AARU K. · Reviewed 4 months ago

Shwetha R. · Reviewed 4 months ago

Md. Farhan A. · Reviewed 4 months ago

Vasu U. · Reviewed 4 months ago

task 3 is not working

Tiyash G. · Reviewed 4 months ago

Data allocation for ML API are discretized with parallel and scalable function for a running Dataflow template region enabled in a Cloud Shell region with its compatible Cloud Storage Bucket instance.

Anshuman M. · Reviewed 4 months ago

Worker pool creation repeatedly failed with ZONE_RESOURCE_POOL_EXHAUSTED / stockout errors across multiple zones (us-central1-a, us-central1-b, us-central1-c), preventing lab completion despite following instructions correctly.

Rudra S. · Reviewed 4 months ago

hitesh d. · Reviewed 4 months ago

Dileep K. · Reviewed 4 months ago

This lab is not working properly.

Ridhamraj P. · Reviewed 4 months ago

Dhanush Venkat Sai Reddy M. · Reviewed 4 months ago

SEBASTIÁN IGNACIO R. · Reviewed 4 months ago

WILMER GUSTAVO M. · Reviewed 4 months ago

Suyanti E. · Reviewed 4 months ago

Ahmad A. · Reviewed 4 months ago