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What is target encoding also known as?
What does target encoding replace each category in the data with?
Why is target encoding important in data science and machine learning?
What is the mathematical foundation behind target encoding?
What is one of the drawbacks of target encoding?
How can overfitting be prevented in target encoding?
In what scenarios is target encoding most beneficial?
How do tree-based models handle categorical features?
What is one of the challenges of target encoding with more complex models like Neural Networks?
What is a key tip for effective target encoding?
How does target encoding differ from one-hot encoding in handling categories?
What is target leakage in the context of target encoding?
What role does smoothing play in target encoding?
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