Updated Create ML Models with BigQuery ML: Challenge Lab [GSP341]

Create ML Models with BigQuery ML: Challenge Lab [GSP341]

@@ -12,27 +12,15 @@ bq mk austin
 
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-Task 2: Create a forecasting BigQuery machine learning model :-
+Task 2: Create a forecasting BigQuery machine learning model.
 
-// In BigQuery Console Query Editor :-
+in your Cloud Shell paste the below two lines
+
+export PROJECT_ID=DEVSHELL_PROJECT_ID
+
+
+bq query --use_legacy_sql=false "CREATE OR REPLACE MODEL austin.austin_1 OPTIONS(input_label_cols=['duration_minutes'], model_type='linear_reg') AS SELECT duration_minutes, location, start_station_name, CAST(EXTRACT(dayofweek FROM start_time) AS STRING) as dayofweek, CAST(EXTRACT(hour FROM start_time) AS STRING) AS hourofday, FROM \`bigquery-public-data.austin_bikeshare.bikeshare_trips\` AS trips JOIN \`bigquery-public-data.austin_bikeshare.bikeshare_stations\` AS stations ON trips.start_station_id = stations.station_id WHERE EXTRACT(year from start_time) = 2018"
 
-CREATE OR REPLACE MODEL austin.location_model
-OPTIONS
-  (model_type='linear_reg', labels=['duration_minutes']) AS
-SELECT
-    start_station_name,
-    EXTRACT(HOUR FROM start_time) AS start_hour,
-    EXTRACT(DAYOFWEEK FROM start_time) AS day_of_week,
-    duration_minutes,
-FROM
-    `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS trips
-JOIN
-    `bigquery-public-data.austin_bikeshare.bikeshare_stations` AS stations
-ON
-    trips.start_station_name = stations.name
-WHERE
-    EXTRACT(YEAR FROM start_time) = 2018
-    AND duration_minutes > 0
 
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