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Overfitting occurs when a model learns training data too well, including noise, making it perform poorly on new data. Underfitting happens when a model fails to capture patterns in the data, resulting in poor performance overall.
AttributeErrors occur when trying to access a non-existent attribute or method in Python objects. Understanding their causes can help you resolve and prevent them efficiently.
Writing secure Python code requires awareness of common vulnerabilities, adopting robust practices, and avoiding pitfalls to prevent serious consequences.