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

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

161530 reviews

Caio P. · Reviewed 4 минут ago

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. · Reviewed 24 минут ago

Amala K. · Reviewed 26 минут ago

shaik j. · Reviewed 39 минут ago

Suraj R. · Reviewed 44 минут ago

Prayoga S. · Reviewed около 1 часа ago

Isabella C. · Reviewed около 1 часа ago

JENNIFER PAOLA B. · Reviewed около 2 часов ago

Pablo C. · Reviewed около 3 часов ago

kasinadhsarma s. · Reviewed около 3 часов ago

Rajesh K. · Reviewed около 3 часов ago

Alhamdulillah

Siti Aisyah M. · Reviewed около 3 часов ago

Emerson C. · Reviewed около 3 часов ago

Fábio R. · Reviewed около 3 часов ago

Damien R. · Reviewed около 4 часов ago

Ashim S. · Reviewed около 4 часов ago

alisha z. · Reviewed около 5 часов ago

Mark v. · Reviewed около 5 часов ago

Eloisa Aparecida C. · Reviewed около 5 часов ago

Very hard!

Christian Ernany C. · Reviewed около 5 часов ago

Renan V. · Reviewed около 5 часов ago

Likhith D. · Reviewed около 5 часов ago

Siti A. · Reviewed около 6 часов ago

Andrew R. · Reviewed около 6 часов ago

Before running the Dataproc job, a cluster has to be created. Then, the '/data.txt' file can be copied into hdfs. Please, provide the adequate information about the creation of the cluster.

Evgenios O. · Reviewed около 7 часов ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.