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.
Ready to get started with Kubeflow?
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Just Released: Arrikto is thrilled to announce the release of version 1.1 of Kubeflow as a Service; Our newly updated self-service Machine Learning (ML) platform. This update incorporates functionality from the recently-released Enterprise Kubeflow 2.0 product, which includes the KServe model serving support and several usability enhancements. Learn more.
Try More Use Cases for Yourself
If you’d like to walk through more Kubeflow use cases yourself, visit Arrikto Academy. Here’s some of the available courses:
- Kaggle’s Open Vaccine COVID-19 mRNA Vaccine Degradation Prediction
- Kaggle’s Titanic Disaster Survivor Prediction
- Kaggle’s Blue Book for Bulldozers Machine Learning Example
- Dog Breed Classification Example
- Distributed Training and Model Serving
- Kaggle’s Digit Recognizer Machine Learning Example
Missed the Nov 16 workshop?
If you were unable to join us last week, but would still like to attend a workshop in the future, register for one of these upcoming workshops.