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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