###Using BigQuery & BigQuery ML through Kernels

- In addition to being available for download on Kaggle, this competition's dataset has been hosted in a private BigQuery dataset. You can gain access to it by following the directions within the `BigQuery-Dataset-Access.md` doc on the [Data page](https://www.kaggle.com/c/bigquery-geotab-intersection-congestion/data). 
     - Note: you are required to accept the competition's rules prior to downloading the dataset. 
- The toggle to enable BigQuery on Kaggle kernels/notebooks is in the "Settings" panel.
     - In order to run BQML queries, you will need to "Link an Account." This will require that you have a GCP account to authenticate into. If you don't have one, [create a new one here](https://cloud.google.com/free/)

###Getting Started Resources
- We are also distributing GCP coupons for participants in this competition who have made a submission to the competition and [submit this request form](https://www.kaggle.com/GCP-Credits-BQML) by October 15, 2019.
- This [starter tutorial](https://www.kaggle.com/sirtorry/bigquery-ml-template-intersection-congestion/) shows you how to get started running queries on BigQuery ML.