100 Days of Machine Learning | CampusX - Multivariate Imputation by Chained Equations for Missing Value | MICE Algorithm | Iterative Imputer

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 ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:53 - MICE [Multivariate Imputation by Chained Equations] 04:38 - How MICE Works? 17:45 - Code