Data Imputation Strategies: Utilizing Expectation-Maximization (EM) for Handling Missing Not At Random (MNAR) Data
IntroductionMissing data is one of the most common reasons analytics projects go off track. A model that performs well in development can fail in production simply because real-world records arrive incomplete. Many teams treat missing values as a cleaning task-fill with a mean, drop rows, or add a "missing" flag....









