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Data Analysis and Churn Prediction Using Snowflake Notebooks

Overview

In this Quickstart, we will play the role of a data scientist at a telecom company that wants to identify users who are at high risk of churning. To accomplish this, we need to build a model that can learn how to identify such users. We will demonstrate how to use Snowflake Notebooks in conjunction with Snowflake/Snowpark to build a Random Forest Classifier to help us with this task.

Step-By-Step Guide

For prerequisites, environment setup, step-by-step guide and instructions, please refer to the QuickStart Guide.

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