Alteryx Advanced - Exercise 4

This tutorial guides you through building an XGBoost classification model to predict airline passenger satisfaction. It covers data preparation, including setting data types, cleaning missing values, and feature selection. The lesson explains setting up a machine learning pipeline, applying transformation tools, and fitting the model. Finally, it evaluates the model's performance, highlighting prediction accuracy and error rates.

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