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Solution: Improve H2OXGBoost Regression Model

Explore how to improve an H2OXGBoost regression model by tuning hyperparameters such as max_depth. Understand how adjusting model complexity helps prevent overfitting and leads to better performance on new datasets. Learn strategies for parameter tuning and cross-validation to optimize regression outcomes.

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The magic unfolds!

As discussed in the regression lesson, parameters are crucial for building robust, effective, and high-performing machine learning models. In the regression challenge, our task was to beat the RMSE threshold of 3.80 on the ...