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How to Deal with Missing Data in Machine Learning: A Comprehensive Guide
June 28, 2025 · Lillian Kim · 3 min read
You have a dataset ready to be processed by your shiny new machine learning model. You've cleaned the data, preprocessed it, and everything seems to be in order. But wait, what's this? Missing data? Don't panic, this is a common issue that many data scientists face when working on real-world datasets. In this comprehensive guide, we will explore various strategies to deal with missing data in machine learning.






















