Create ML Models with BigQuery ML: Challenge Lab Reviews

A good challenge for me - create and evaluate the ML model

Nikolay P. · Reviewed أكثر من سنة ago

Rainer-Anton E. · Reviewed أكثر من سنة ago

Руслана Х. · Reviewed أكثر من سنة ago

error en dataset name

Javier Z. · Reviewed أكثر من سنة ago

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Soumya Ranjan B. · Reviewed أكثر من سنة ago

Ajikumar G. · Reviewed أكثر من سنة ago

Preetham R. · Reviewed أكثر من سنة ago

m

Akerke K. · Reviewed أكثر من سنة ago

Broken

Jian Jin . · Reviewed أكثر من سنة ago

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hyunsoo k. · Reviewed أكثر من سنة ago

M. Faiz Pratama M. · Reviewed أكثر من سنة ago

Lorenzo O. · Reviewed أكثر من سنة ago

Sreeni P. · Reviewed أكثر من سنة ago

Emil D. · Reviewed أكثر من سنة ago

the lab is confusing. it instructs to create a dataset bq_dataset for the models I create, but the first task required the model to be under the austin dataset. then, in the second task I have the solution below (similarly for both models location and subscriber in separate queries), and it was incorrect with the grader stating that I had to do both models for the correct year #---------------------- WITH daynames AS (SELECT ['Sun', 'Mon', 'Tues', 'Wed', 'Thurs', 'Fri', 'Sat'] AS daysofweek), taxitrips AS ( SELECT start_station_name, EXTRACT(HOUR FROM start_time) AS start_hour, EXTRACT(DAYOFWEEK FROM start_time) AS day_of_week, S.address as location, T.duration_minutes as duration_minutes FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` as T, daynames LEFT JOIN `bigquery-public-data.austin_bikeshare.bikeshare_stations` as S ON T.start_station_name=S.name WHERE EXTRACT(YEAR FROM T.start_time)=2019 ) SELECT mean_absolute_error, SQRT(mean_squared_error) AS rmse FROM ML.EVALUATE(MODEL `austin.location_model`, TABLE `taxitrips`) #--------------------------

Raúl R. · Reviewed أكثر من سنة ago

Aigerim O. · Reviewed أكثر من سنة ago

Raúl R. · Reviewed أكثر من سنة ago

Pankaj K. · Reviewed أكثر من سنة ago