Dados de engenharia para modelagem preditiva com o BigQuery ML: laboratório com desafio avaliações
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Tushita Y. · Revisado há almost 2 years
Cecilia P. · Revisado há almost 2 years
Thiago V. · Revisado há almost 2 years
Harry S. · Revisado há almost 2 years
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SID EL MRABET M. · Revisado há almost 2 years
vartika c. · Revisado há almost 2 years
Soufiane B. · Revisado há almost 2 years
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vartika c. · Revisado há almost 2 years
Cezar M. · Revisado há almost 2 years
Julie S. · Revisado há almost 2 years
IRENE D. · Revisado há almost 2 years
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. · Revisado há almost 2 years
Vivek K. · Revisado há almost 2 years
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. · Revisado há almost 2 years
Jenna R. · Revisado há almost 2 years
Instructions not clear. Tasks not covered in training.
Jorge Eduardo R. · Revisado há almost 2 years
Sacchin L. · Revisado há almost 2 years
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Dhanalakshmi G. · Revisado há almost 2 years
Tubagus Maulana A. · Revisado há almost 2 years
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