## Can we predict if a visitor, in a session, will add item(s) to the cart? The [Google Merchandise Store](https://www.googlemerchandisestore.com/shop.axd/Home) sells Google branded merchandise, a real ecommerce store. Using obfuscated Google Analytics data on each visitor session, you will use BigQuery ML to try and build a model that predicts whether each session will result in the visitor performing an action to add an item to the cart. ## Where's the data? The data is split into two public tables on BigQuery: You will use the **training data** to build your model, and **testing data** to make your predictions using your model. Go to the [data](../data) page for more information on the tables. ## How to create your first model and make your submission: ### Step 1. Launch one of the notebooks below on AI Platform Notebooks: -

Starter Notebook [R] Note: Select "R" under "Advanced Options" > "Environment". If you'd like to only use SQL instead, you can follow the [instructions on using the BigQuery Console UI](https://www.kaggle.com/c/online-retail-store-20201008/overview/can-i-just-use-the-bigquery-console-ui) ### Step 2. Upload your CSV submission file to Kaggle via "Submit Predictions"