I'm the creator of explainableai, a Python package that helps interpret complex 'black box' models. It focuses on 'how predictions are made' by ML models and offers easy-to-understand explanations of AI decisions. My aim is to make AI more transparent and accessible to millions of data scientists, researchers, and businesses around the world.
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