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 simplifying feature engineering & model


Simplifying Feature Engineering & model tuning, ensembling & deployment w H2O

#artificialintelligence

Description: H2O.ai is democratizing AI by automating machine learning. It fully automates some of the most challenging and productive tasks in applied data science such as feature engineering, model tuning, model ensembling and model deployment. Driverless AI turns Kaggle-winning grandmaster recipes into production-ready code, and is specifically designed to avoid common mistakes such as under- or overfitting, data leakage or improper model validation, some of the hardest challenges in data science. Avoiding these pitfalls alone can save weeks or more for each model, and is necessary to achieve high modeling accuracy. Now, data scientists of all proficiency levels can train and deploy modeling pipelines with just a few clicks from the GUI.