Criar modelos de ML com o BigQuery ML: laboratório com desafio avaliações

Andrii S. · Revisado há about 2 years

Form_2 option of this lab is good. But the first one I've got was a disaster - there were mistakes like one condition of the task saying I should use logistics regression while the other saying linear regression (which is obviously wrong)

Oleg V. · Revisado há about 2 years

Some tasks description should be fixed, mentioned it in lab comments

Maksym Z. · Revisado há about 2 years

Andrii R. · Revisado há about 2 years

Dimka C. · Revisado há about 2 years

ok

saikumar j. · Revisado há about 2 years

Andrii Y. · Revisado há about 2 years

Venkat R. · Revisado há about 2 years

Werner v. · Revisado há about 2 years

Illya V. · Revisado há about 2 years

Maxim K. · Revisado há about 2 years

Maxim K. · Revisado há about 2 years

Andrii S. · Revisado há about 2 years

Andrii S. · Revisado há about 2 years

Andrii S. · Revisado há about 2 years

Andrii S. · Revisado há about 2 years

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 In this task there are 2 mutually exclusive conditions - to make a logistic regression model and then it is written to use a linear one.

Maksym Z. · Revisado há about 2 years

Andrii M. · Revisado há about 2 years

Maksym Z. · Revisado há about 2 years

Yevgen D. · Revisado há about 2 years

Vitaly U. · Revisado há about 2 years

Yurii D. · Revisado há about 2 years

Roman M. · Revisado há about 2 years

Vladyslav D. · Revisado há about 2 years