Create ML Models with BigQuery ML: Challenge Lab Reviews

Manuel L. · Reviewed over 2 years ago

Ana Luísa A. · Reviewed over 2 years ago

Sandra G. · Reviewed over 2 years ago

KENDRE H. · Reviewed over 2 years ago

Samuel V. · Reviewed over 2 years ago

Model created but not recognized

Anatol H. · Reviewed over 2 years ago

Gabrielli N. · Reviewed over 2 years ago

Tom S. · Reviewed over 2 years ago

pedro c. · Reviewed over 2 years ago

Fernando G. · Reviewed over 2 years ago

pedro c. · Reviewed over 2 years ago

Siddharth K. · Reviewed over 2 years ago

Akshay G. · Reviewed over 2 years ago

Matheus s. · Reviewed over 2 years ago

Cauan M. · Reviewed over 2 years ago

Cauan M. · Reviewed over 2 years ago

instruction is not clear

Thien (work) T. · Reviewed over 2 years 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 (work) T. · Reviewed over 2 years ago

Enad A. · Reviewed over 2 years ago

Thien (work) T. · Reviewed over 2 years ago

M VIMAL K. · Reviewed over 2 years ago

Justin K. · Reviewed over 2 years ago

komal A. · Reviewed over 2 years ago

Medha R. · Reviewed over 2 years ago

HONG VUONG N. · Reviewed over 2 years ago