Prepare for questions about ethical considerations and model interpretability in AI projects. This guide covers principles of AI ethics, handling biases, privacy, interpretability techniques, and more.
feature importance
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Uncover the essence of feature engineering in machine learning. Dive into selection techniques and transformative methods to enhance model accuracy and reliability.