Kaggle’s Telco Customer Churn Workshop Recap – Nov 16, 2022

On Nov 16th, we hosted the first Kaggle’s Telco Customer Churn workshop. In this blog post we’ll recap some highlights from the workshop. Ok, let’s dig in.

About the Workshop

In this workshop we’ll show how to turn Kaggle’s Telco Customer Churn competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension.

About the Kaggle Competition

Customer churn is a major issue in telecommunications companies. To increase revenue, telcos must both attract new customers and retain existing ones. As a result, big telcos are turning to analytics to determine why their customers are canceling contracts.

In this competition, we will build a customer churn prediction model by effectively analyzing customers’ demographic information, services signed up for, and account information. This solution will assist telcos in developing effective churn prevention strategies as well as increasing their revenue.

What topics were covered in the workshop?

  • Overview of Kubeflow
  • Installing Kubeflow
  • About the Telco Customer Churn Competition
  • Develop and Run the Telco Customer Churn Pipeline using KFP SDK
  • Automate the Telco Customer Churn Pipeline with Kale
  • Comparing the Methods

What did I miss?

Here’s a short teaser from the 1 hour workshop where we show you how to create a Kubeflow Pipeline for Kaggle’s Telco Churn Prediction competition using the Kale JupyterLab extension.

Want to see more? Here’s the YouTube playlist of all the demos featured in the workshop.

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