Create ML Models with BigQuery ML: Challenge Lab Reviews

41271 reviews

pedro c. · Reviewed almost 2 years ago

Fernando G. · Reviewed almost 2 years ago

pedro c. · Reviewed almost 2 years ago

Siddharth K. · Reviewed almost 2 years ago

Akshay G. · Reviewed almost 2 years ago

Matheus s. · Reviewed almost 2 years ago

Cauan M. · Reviewed almost 2 years ago

Cauan M. · Reviewed almost 2 years ago

instruction is not clear

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

Enad A. · Reviewed almost 2 years ago

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

M VIMAL K. · Reviewed almost 2 years ago

Justin K. · Reviewed almost 2 years ago

komal A. · Reviewed almost 2 years ago

Medha R. · Reviewed almost 2 years ago

HONG VUONG N. · Reviewed almost 2 years ago

Advik P. · Reviewed almost 2 years ago

João Pedro O. · Reviewed almost 2 years ago

Maravania d. · Reviewed almost 2 years ago

Utkan S. · Reviewed almost 2 years ago

Khooshi D. · Reviewed almost 2 years ago

MIGUEL M. · Reviewed almost 2 years ago

Tamires O. · Reviewed almost 2 years ago

Gustavo D. · Reviewed almost 2 years ago

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