Create ML Models with BigQuery ML: Challenge Lab Reviews

Kacper J. · Reviewed over 4 years ago

Archana M. · Reviewed over 4 years ago

Radosław Ł. · Reviewed over 4 years ago

Krzysztof B. · Reviewed over 4 years ago

Milena A. · Reviewed over 4 years ago

Andrew J. · Reviewed over 4 years ago

Milena A. · Reviewed over 4 years ago

Wioletta P. · Reviewed over 4 years ago

Bigquery Machine Learning Models API are called when its compatible scalable queries can be allocated in a browser in particular time zone

Anshuman M. · Reviewed over 4 years ago

Young L. R. · Reviewed over 4 years ago

Andrew L. · Reviewed over 4 years ago

Krzysztof G. · Reviewed over 4 years ago

Robert Z. · Reviewed over 4 years ago

nani b. · Reviewed over 4 years ago

SAHILKUMAR V. · Reviewed over 4 years ago

malik l. · Reviewed over 4 years ago

:)

Jakub P. · Reviewed over 4 years ago

malik l. · Reviewed over 4 years ago

Andrzej D. · Reviewed over 4 years ago

Mariusz M. · Reviewed over 4 years ago

very flaky challenge lab. very subjective as to whether use start_sation_id vs. start_sation_name to do the count to get the busiest station. since same station id can have multiple names (human typo), counting using station name is not accurate. Station id should be the criteria to use for the count. Also when using the construct below in the statement, the lab is through an error message on correct year. WITH params AS ( SELECT 2018 AS Training_Year, 2019 AS Evaluation_Year ),

Miguel F. · Reviewed over 4 years ago

Error message not accurate on Task 2.

Miguel F. · Reviewed over 4 years ago

Neil K. · Reviewed over 4 years ago

Mescha D. · Reviewed over 4 years ago

LING M. · Reviewed over 4 years ago