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H2O in practice: a protocol combining AutoML with traditional modeling approaches

H2O in practice: a protocol combining AutoML with traditional modeling approaches

Categories: Data Science, Learning | Tags: On-premises, H2O, Automation, XGBoost, Cloud, Python, Machine Learning, Open source, MLOps

H20 comes with a lot of functionalities. The second part of the series H2O in practice proposes a protocol to combine AutoML modeling with traditional modeling and optimization approach. The objective…

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