Multivariate Imputation by Chained Equations for Missing Value | MICE Algorithm | Iterative Imputer
Channel: CampusX
Date: 2021-04-28

Multivariate Imputation by Chained Equations (MICE) is a method for handling missing values in a dataset. It imputes missing values by modeling each variable with missing data as a function of other variables. This iterative process continues until convergence, providing a comprehensive approach to imputing missing values in a multivariate setting.

Code Used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day40-iterative-imputer

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⌚Time Stamps⌚

00:00 - Intro
00:53 - MICE [Multivariate Imputation by Chained Equations]
04:38 - How MICE Works?
17:45 - Code