Engineer Data for Predictive Modeling with BigQuery ML: Challenge Lab Reviews

Chetna G. · Reviewed 8 ימים ago

Pramodini K. · Reviewed 8 ימים ago

Henry H. · Reviewed 9 ימים ago

Henry H. · Reviewed 9 ימים ago

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

jer g. · Reviewed 9 ימים ago

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

Brindha R. · Reviewed 9 ימים ago

hard

BAPTISTE V. · Reviewed 9 ימים ago

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

Brindha R. · Reviewed 9 ימים ago

Tushita Y. · Reviewed 9 ימים ago

Cecilia P. · Reviewed 9 ימים ago

Thiago V. · Reviewed 9 ימים ago

Harry S. · Reviewed 9 ימים ago

Ashwed M. · Reviewed 9 ימים ago

SID EL MRABET M. · Reviewed 9 ימים ago

vartika c. · Reviewed 9 ימים ago

Soufiane B. · Reviewed 9 ימים ago

James C. · Reviewed 9 ימים ago

vartika c. · Reviewed 9 ימים ago

Cezar M. · Reviewed 9 ימים ago

Julie S. · Reviewed 9 ימים ago

IRENE D. · Reviewed 9 ימים ago

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. · Reviewed 9 ימים ago

Vivek K. · Reviewed 9 ימים ago

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. · Reviewed 10 ימים ago

Jenna R. · Reviewed 10 ימים ago