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Create ML Models with BigQuery ML: Challenge Lab
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Create ML Models with BigQuery ML: Challenge Lab
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bq mk austin
Task 2
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,
address as location
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) = <replace year>
AND duration_minutes > 0
Task 3
CREATE OR REPLACE MODEL austin.subscriber_model
OPTIONS
(model_type='linear_reg', labels=['duration_minutes']) AS
SELECT
start_station_name,
EXTRACT(HOUR FROM start_time) AS start_hour,
subscriber_type,
duration_minutes
FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS trips
WHERE EXTRACT(YEAR FROM start_time) = <replace year>
CREATE OR REPLACE MODEL austin.subscriber_model
OPTIONS
(model_type='linear_reg', labels=['duration_minutes']) AS
SELECT
start_station_name,
EXTRACT(HOUR FROM start_time) AS start_hour,
subscriber_type,
duration_minutes
FROM `bigquery-public-data.austin_bikeshare.bikeshare_trips` AS trips
WHERE EXTRACT(YEAR FROM start_time) = <replace year>
Task 4
SELECT
SQRT(mean_squared_error) AS rmse,
mean_absolute_error
FROM
ML.EVALUATE(MODEL austin.location_model, (
SELECT
start_station_name,
EXTRACT(HOUR FROM start_time) AS start_hour,
EXTRACT(DAYOFWEEK FROM start_time) AS day_of_week,
duration_minutes,
address as location
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) = <replace year> )
)
SELECT
SQRT(mean_squared_error) AS rmse,
mean_absolute_error
FROM
ML.EVALUATE(MODEL austin.subscriber_model, (
SELECT
start_station_name,
EXTRACT(HOUR FROM start_time) AS start_hour,
subscriber_type,
duration_minutes
FROM
`bigquery-public-data.austin_bikeshare.bikeshare_trips` AS trips
WHERE
EXTRACT(YEAR FROM start_time) = <replace year>)
)
Task 5
SELECT
start_station_name,
COUNT(*) AS trips
FROM
`bigquery-public-data.austin_bikeshare.bikeshare_trips`
WHERE
EXTRACT(YEAR FROM start_time) = <replace year>
GROUP BY
start_station_name
ORDER BY
trips DESC
SELECT AVG(predicted_duration_minutes) AS average_predicted_trip_length
FROM ML.predict(MODEL austin.subscriber_model, (
SELECT
start_station_name,
EXTRACT(HOUR FROM start_time) AS start_hour,
subscriber_type,
duration_minutes
FROM
`bigquery-public-data.austin_bikeshare.bikeshare_trips`
WHERE
EXTRACT(YEAR FROM start_time) = <replace year>
AND subscriber_type = 'Single Trip'
AND start_station_name = '21st & Speedway @PCL'))