Web Reference: Missing values can be imputed with a provided constant value, or using the statistics (mean, median or most frequent) of each column in which the missing values are located. This class also allows for different missing values encodings. Nov 3, 2025 · IterativeImputer is Scikit-learn’s implementation of multivariate imputation, designed to handle complex feature dependencies. It models each feature with missing values as a function of other features and iteratively refines the predictions. This tutorial will guide you through the process of handling missing data using Scikit-learn, a powerful and user-friendly Python library for machine learning. We will explore various imputation techniques, understand their strengths and weaknesses, and equip you with the knowledge to make informed decisions when dealing with incomplete datasets.
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