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Data Science Interview Questions and Answers

Question: Explain the concept of overfitting in machine learning.
Answer: Overfitting occurs when a model learns the training data too well, capturing noise and outliers instead of general patterns. This can lead to poor performance on new, unseen data.

Example:

A complex polynomial regression model fitting the training data perfectly but performing poorly on test data.

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