Kaggle’s House Prices Workshop Recap – Sep 7, 2022

Last week we hosted the second Kaggle’s House Prices workshop. In this blog post we’ll recap some highlights from the workshop. Ok, let’s dig in.

About the Kaggle Competition

With 79 explanatory variables describing nearly every aspect of residential homes located in Ames, Iowa, Kaggle’s House Prices competition challenges data scientists to predict the final price of each home.

What topics were covered in the workshop?

  • Overview of Kubeflow
  • Installing Kubeflow
  • About the House Prices – Advanced Regression Techniques Competition
  • Turning the House Prices competition into a Kubeflow Pipeline with the KFP SDK
  • Turning the House Prices competition into a Kubeflow Pipeline with the Kale JupyterLab extension
  • Comparing the Methods

What did I miss?

Here’s a short teaser from the 1 hour workshop where Jimmy walked folks through how to create a Kubeflow Pipeline for Kaggle’s House Prices 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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