Impute Missing Values with sklearn KNNIMputer
Channel: Kunaal Naik | Data Science Masterminds
Date: 2022-04-14

Imputation for completing missing values using k-Nearest Neighbors.

Each sample’s missing values are imputed using the mean value from n_neighbors nearest neighbors found in the training set. Two samples are close if the features that neither is missing are close.

Source: https://scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html

GitHub: https://github.com/KunaalNaik/DSM_MissingValues