Create ML Models with BigQuery ML: Challenge Lab Reviews

Otavio K. · Reviewed about 7 hours ago

ADRIANA MICHELLE C. · Reviewed about 7 hours ago

Sajith Z. · Reviewed about 11 hours ago

Manuel L. · Reviewed about 12 hours ago

Ana Luísa A. · Reviewed about 12 hours ago

Sandra G. · Reviewed about 13 hours ago

KENDRE H. · Reviewed about 16 hours ago

Samuel V. · Reviewed about 19 hours ago

Model created but not recognized

Anatol H. · Reviewed about 22 hours ago

Gabrielli N. · Reviewed 1 day ago

Tom S. · Reviewed 1 day ago

pedro c. · Reviewed 1 day ago

Fernando G. · Reviewed 2 days ago

pedro c. · Reviewed 2 days ago

Siddharth K. · Reviewed 2 days ago

Akshay G. · Reviewed 2 days ago

Matheus s. · Reviewed 2 days ago

Cauan M. · Reviewed 2 days ago

Cauan M. · Reviewed 2 days ago

instruction is not clear

Thien T. · Reviewed 3 days ago

There is a newly available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. In this task you will use this data to create a model that predicts whether a visitor will make a transaction. Here you have to used the visitor's devices operating system, whether said device is a mobile device, the visitor's country and the number of page views as the criteria for whether a transaction has been made. Also you have to specify the model type as binary logistic regression Create a model named 'predicts_visitor_model' in the precreated dataset 'bqml_dataset' that predicts whether a visitor will make a transaction. Also, evaluate the model 'predicts_visitor_model'. Use the model type as linear regression model binary logistic regression is not linear regression model

Thien T. · Reviewed 3 days ago

Enad A. · Reviewed 3 days ago

Thien T. · Reviewed 3 days ago

M VIMAL K. · Reviewed 3 days ago

Justin K. · Reviewed 3 days ago