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

51872 reviews

Ihor K. · Reviewed neredeyse 2 yıl ago

Lynn C. · Reviewed neredeyse 2 yıl ago

Kenki L. · Reviewed neredeyse 2 yıl ago

SAGAR D. · Reviewed neredeyse 2 yıl ago

Christos I. · Reviewed neredeyse 2 yıl ago

Pavel K. · Reviewed neredeyse 2 yıl ago

Armani U. · Reviewed neredeyse 2 yıl ago

Ellie H. · Reviewed neredeyse 2 yıl ago

Wing Chi Gi Gi W. · Reviewed neredeyse 2 yıl ago

no resource found

pradeep kumar K. · Reviewed neredeyse 2 yıl ago

Elangovan K. · Reviewed neredeyse 2 yıl ago

Qasim M. · Reviewed neredeyse 2 yıl ago

This statement is not clear: "Be sure to add tolls_amount and fare_amount to fare_amount_444 as the target variable since total_amount includes tips". Does this mean fare_amount_444 = fare_amount + tolls_amount? Why bring up total_amount or tips? In this excercise, the date probably should be excluded from the model training/predicition. I got better fare predictions when I didn' t train/predict with the date.

Eugene B. · Reviewed neredeyse 2 yıl ago

I am able to achieve RMSE 11.77 but still the check is NOT green. I felt there is some issue with this lab.

Shobhit S. · Reviewed neredeyse 2 yıl ago

Diana E. · Reviewed neredeyse 2 yıl ago

Gonçalo P. · Reviewed neredeyse 2 yıl ago

I am able to achieve RMSE 0.000672824932406627 but still the check is NOT green. I felt there is some issue with this lab.

Shobhit S. · Reviewed neredeyse 2 yıl ago

Vincent M. · Reviewed neredeyse 2 yıl ago

Derong Y. · Reviewed neredeyse 2 yıl ago

Sachin A. · Reviewed neredeyse 2 yıl ago

Went too fast and did not notice that predictions should be based on a new table.

Aaron W. · Reviewed neredeyse 2 yıl ago

Derong Y. · Reviewed neredeyse 2 yıl ago

Gabriela W. · Reviewed neredeyse 2 yıl ago

Thiago O. · Reviewed neredeyse 2 yıl ago

Mohammad I. · Reviewed neredeyse 2 yıl ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.