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

Parvin S. · Reviewed over 1 year ago

Abhijit p. · Reviewed over 1 year ago

Kevin C. · Reviewed over 1 year ago

Ruturaj D. · Reviewed over 1 year ago

Nico J. · Reviewed over 1 year ago

Ishwari M. · Reviewed over 1 year ago

Amar K. · Reviewed over 1 year ago

I Kadek Virgio Adrian K. · Reviewed over 1 year ago

Atul K. · Reviewed over 1 year ago

Anurag Singh R. · Reviewed over 1 year ago

anandh k. · Reviewed over 1 year ago

Rekha T. · Reviewed over 1 year ago

Saranya M. · Reviewed over 1 year ago

Abidi R. · Reviewed over 1 year ago

Onio G. · Reviewed over 1 year ago

Rahmad N. · Reviewed over 1 year ago

Kanad S. · Reviewed over 1 year ago

Rajjo G. · Reviewed over 1 year ago

Cecilia Z. · Reviewed over 1 year ago

The first time I did everything right, but didn't have enough time to do the last task. The second time, I did the same as I did before, but couldn't get the RMSE down below 10 even though I used the same exact query to create the model. This seems to be because the parameters to filter on changed so there was too little data to train on. I upsampled to as close to 1 million as I could and still nothing would work for linear regression. I even tried automl_regression, but the model takes hours to train and we only have 1 hour. The third time I did it I was able to complete the entire thing in <15 minutes with everything the same as the first time because the filter parameters allowed more data through. Please fix this so all generated filter parameters should allow the user to create a model that gets an RMSE below 10.

Ben S. · Reviewed over 1 year ago

Habib A. · Reviewed over 1 year ago

Aakif M. · Reviewed over 1 year ago

Rishabh S. · Reviewed over 1 year ago

Govind S. · Reviewed over 1 year ago