关于“通过 BigQuery ML 创建机器学习模型：实验室挑战赛”的评价

Wasn't able to pass the last verification with 2016/2020 years. And the same approach worked w/o problems for 2018/2019. Looks like "Single Trip" subscriber type was changed for 2020

Salet G. · 已于 over 4 years前审核

Kacper J. · 已于 over 4 years前审核

Archana M. · 已于 over 4 years前审核

Radosław Ł. · 已于 over 4 years前审核

Krzysztof B. · 已于 over 4 years前审核

Milena A. · 已于 over 4 years前审核

Andrew J. · 已于 over 4 years前审核

Milena A. · 已于 over 4 years前审核

Wioletta P. · 已于 over 4 years前审核

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

Anshuman M. · 已于 over 4 years前审核

Young L. R. · 已于 over 4 years前审核

Andrew L. · 已于 over 4 years前审核

Krzysztof G. · 已于 over 4 years前审核

Robert Z. · 已于 over 4 years前审核

nani b. · 已于 over 4 years前审核

SAHILKUMAR V. · 已于 over 4 years前审核

malik l. · 已于 over 4 years前审核

:)

Jakub P. · 已于 over 4 years前审核

malik l. · 已于 over 4 years前审核

Andrzej D. · 已于 over 4 years前审核

Mariusz M. · 已于 over 4 years前审核

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. · 已于 over 4 years前审核

Error message not accurate on Task 2.

Miguel F. · 已于 over 4 years前审核

Neil K. · 已于 over 4 years前审核

Mescha D. · 已于 over 4 years前审核