关于“Engineer Data for Predictive Modeling with BigQuery ML: Challenge Lab”的评价

I increased my MSE < 100 but step 2 is not passing!

jer g. · 已于 8 days前审核

After many attempts, finished Task1 and Task2. Taske-Time out. Atlast, finished all tasks

Brindha R. · 已于 9 days前审核

hard

BAPTISTE V. · 已于 9 days前审核

After many attempts, finished Task1 and Task2. Taske-Time out.

Brindha R. · 已于 9 days前审核

Tushita Y. · 已于 9 days前审核

Cecilia P. · 已于 9 days前审核

Thiago V. · 已于 9 days前审核

Harry S. · 已于 9 days前审核

Ashwed M. · 已于 9 days前审核

SID EL MRABET M. · 已于 9 days前审核

vartika c. · 已于 9 days前审核

Soufiane B. · 已于 9 days前审核

James C. · 已于 9 days前审核

vartika c. · 已于 9 days前审核

Cezar M. · 已于 9 days前审核

Julie S. · 已于 9 days前审核

IRENE D. · 已于 9 days前审核

1. dataprep requires too many allows/accepts/continues. 2. dataprep can't cast datetime to timestamp 3. dataprep always recognize a column that is calculated from two float columns to a string type.

Yi S. · 已于 9 days前审核

Vivek K. · 已于 9 days前审核

I was able to complete this lab using BQ. The trickiest part of it is when the RMSE doesn't get accepted, under task 2. I've noted on our class forums that this appears to be the case when pickup_datetime is a datetime column rather than timestamp. However, all of my "*_datetime" columns were timestamp type in this lab, and I was successful. Task 3 should have a note: "allow the ML.PREDICT method to name the forecasted variable". I failed when I renamed the forecasted variable.

Jeremy L. · 已于 9 days前审核

Jenna R. · 已于 9 days前审核

Instructions not clear. Tasks not covered in training.

Jorge Eduardo R. · 已于 9 days前审核

Sacchin L. · 已于 9 days前审核

Naveen Raj K. · 已于 10 days前审核

Aymen S. · 已于 10 days前审核