The article discusses the benefits of using the H2O package in Python and R for automating the building of machine learning models. It highlights the scalability, ease of use, machine learning algorithms, AutoML functionality, and data exploration capabilities of H2O. The article provides code examples and explains how to use H2O's AutoML in both Python and R. It concludes by stating that H2O's AutoML simplifies the process of model selection and allows users to focus on the essence of data science and machine learning.
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