https://github.com/alexgenovese/machine-learning-bigquery-gcp

These SQL are based on available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery.
https://github.com/alexgenovese/machine-learning-bigquery-gcp

bigquery google google-cloud-platform purchase sql visitors

Last synced: about 20 hours ago
JSON representation

These SQL are based on available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery.

• Host: GitHub
• URL: https://github.com/alexgenovese/machine-learning-bigquery-gcp
• Owner: alexgenovese
• Created: 2019-06-18T12:55:29.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-06-11T10:29:14.000Z (over 4 years ago)
• Last Synced: 2024-04-23T00:09:56.373Z (7 months ago)
• Topics: bigquery, google, google-cloud-platform, purchase, sql, visitors
• Homepage:
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Applying Machine Learning with Google Cloud Platform

These SQL are based on available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. 

## Predicting Ecommerce Visitor Purchases with a Classification Model

1. Out of the total visitors who visited our website, what % made a purchase?

2. What are the top 5 selling products?

3. How many visitors bought on subsequent visits to our website?

4. What are the risks of only using the above two fields?

## Classification Models

1. Creating a classification model

2. Evaluating the classification model performance

3. Improve performance

4. Predict which new visitors will come back and purchase