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

Abhijit p. · Reviewed almost 2 years ago

Kevin C. · Reviewed almost 2 years ago

Ruturaj D. · Reviewed almost 2 years ago

Nico J. · Reviewed almost 2 years ago

Ishwari M. · Reviewed almost 2 years ago

Amar K. · Reviewed almost 2 years ago

I Kadek Virgio Adrian K. · Reviewed almost 2 years ago

Atul K. · Reviewed almost 2 years ago

Anurag Singh R. · Reviewed almost 2 years ago

anandh k. · Reviewed almost 2 years ago

Rekha T. · Reviewed almost 2 years ago

Saranya M. · Reviewed almost 2 years ago

Abidi R. · Reviewed almost 2 years ago

Onio G. · Reviewed almost 2 years ago

Rahmad N. · Reviewed almost 2 years ago

Kanad S. · Reviewed almost 2 years ago

Rajjo G. · Reviewed almost 2 years ago

Cecilia Z. · Reviewed almost 2 years 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 almost 2 years ago

Habib A. · Reviewed almost 2 years ago

Aakif M. · Reviewed almost 2 years ago

Rishabh S. · Reviewed almost 2 years ago

Govind S. · Reviewed almost 2 years ago

Govind S. · Reviewed almost 2 years ago