Developing Kubeflow Pipelines: Kaggle’s House Prices – Advanced Regression Techniques Competition

Predict sales prices and practice feature engineering, RFs, and gradient boosting.

Date: Sept 7, 2022 06:00 AM Pacific Time (US and Canada)
Kubeflow familiarity: Beginner to Intermediate

About the Workshop:
In this workshop we’ll show how to turn Kaggle’s House Prices – Advanced Regression Techniques competition into a Kubeflow Pipeline using the KFP SDK and the Kale JupyterLab extension.

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.

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