Handling Missing Data in Python: A Practical Guide to Pandas and Scikit-Learn Imputation
Learn how to handle missing data in Python using pandas 3.0 and scikit-learn 1.8. Covers detection, SimpleImputer, KNNImputer, IterativeImputer (MICE), pipeline integration, and a practical decision framework for choosing the right strategy.