This hands-on Demo teaches you how to explore data and build a (ML) model on Google Cloud. The use case for this tutorial is a predictive, "propensity to buy" model for financial services.

Propensity models are widely used within the financial industry to analyze a prospective customer's inclination to make a purchase. Companies often use on-premises solutions that are inflexible and difficult to scale. This demo describes a flexible, serverless ML model on Google Cloud that can be deployed as a part of a business workflow.

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Prerequisites:

- Knowledge of databases
- Have a demo account on Google Cloud Platform https://console.cloud.google.com/freetrial
- Working knowledge of Python.

Requirements:

- Laptop with Chrome or Chromebook