AutoML Integration in Kaggle Kernels!

Automated Machine Learning provides methods and processes to make Machine Learning available for non-Machine Learning experts, to improve efficiency of Machine Learning and to accelerate research on Machine Learning.
Ideal Machine learning process involves data pre-processing, feature selection/engineering, algorithm selection, parameter tuning and model optimization.As many of these steps needs technical expertise in the filed and time consuming Google developed Cloud AutoML to automate the end-to-end machine learning process. Cloud AutoML is a suite of products that help users build custom ML models as per the business needs.
Note: Cloud AutoML is a paid service and you can check the price details in the office website. Google cloud platform free tire is also available with $300 free credit to get started.
In this post I would like to highlight about the Kaggle’s integration with AutoML. To use GCP (Google cloud platform) in Kaggle first thing we need to have is a GCP account (You can create one in the GCP website).
Once you Open a Kaggle kernel click on the Add-ons tab and you can see the below options.

Now click on the Google Cloud Services and it will open the below window. Choose AutoML and click on Link Account.

Click on Link Account and the below window appears to Enable the AutoML services by signing into your GCP account. As mentioned it is a paid services and review the price details of AutoML.

That’s about this small post and please find the below links to know about to AutoML and Google cloud platform.
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