Impute Missing Values with sklearn KNNIMputer

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