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/modul...
GitHub: https://github.com/KunaalNaik/DSM_Mis...