How to prevent data leakage in pandas & scikit-learn ☔
Read OriginalThis technical article discusses the critical concept of data leakage in machine learning workflows using Python's pandas and scikit-learn. It explains what data leakage is, why it leads to unreliable model evaluation, and how common operations like missing value imputation can inadvertently cause it. The guide contrasts incorrect and correct approaches, emphasizing the importance of performing all data transformations within scikit-learn's pipeline to ensure proper simulation of real-world model deployment.
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