### Connect to Google Cloud Storage in Kaggle Notebook

Source: https://www.kaggle.com/docs/notebooks

Initializes a Google Cloud Storage client with your project ID. Requires a billing-enabled GCP account and may incur charges.

```python
# Set your own project id here
PROJECT_ID = 'your-google-cloud-project'
from google.cloud import storage
storage_client = storage.Client(project=PROJECT_ID)
```

--------------------------------

### Connect to BigQuery in Kaggle Notebook

Source: https://www.kaggle.com/docs/notebooks

Initializes a BigQuery client with your Google Cloud project ID. Requires a billing-enabled GCP account for non-public data and may incur charges.

```python
# Set your own project id here
PROJECT_ID = 'your-google-cloud-project'
from google.cloud import bigquery
bigquery_client = bigquery.Client(project=PROJECT_ID)
```

--------------------------------

### Initialize AutoML client with project and region

Source: https://www.kaggle.com/docs/notebooks

Initializes the AutoML client and sets the project ID and compute region. The compute region must be 'us-central1' to use AutoML. Requires a billing-enabled GCP account and the google-cloud-automl package.

```python
# Set your own project id and compute region here
PROJECT_ID = 'your-google-cloud-project'
COMPUTE_REGION = 'us-central1'  # must be `us-central1` to use AutoML (see docs)
from google.cloud import automl_v1beta1 as automl
automl_client = automl.AutoMlClient()
project_location = automl_client.location_path(PROJECT_ID, COMPUTE_REGION)
```

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