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

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

评论

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

jer g. · 评论8 days之前

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

Brindha R. · 评论9 days之前

hard

BAPTISTE V. · 评论9 days之前

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

Brindha R. · 评论9 days之前

Tushita Y. · 评论9 days之前

Cecilia P. · 评论9 days之前

Thiago V. · 评论9 days之前

Harry S. · 评论9 days之前

Ashwed M. · 评论9 days之前

SID EL MRABET M. · 评论9 days之前

vartika c. · 评论9 days之前

Soufiane B. · 评论9 days之前

James C. · 评论9 days之前

vartika c. · 评论9 days之前

Cezar M. · 评论9 days之前

Julie S. · 评论9 days之前

IRENE D. · 评论9 days之前

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. · 评论9 days之前

Vivek K. · 评论9 days之前

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. · 评论9 days之前

Jenna R. · 评论9 days之前

Instructions not clear. Tasks not covered in training.

Jorge Eduardo R. · 评论9 days之前

Sacchin L. · 评论9 days之前

Naveen Raj K. · 评论10 days之前

Aymen S. · 评论10 days之前

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