Missing Values

from fling import MissingValueHandler

mvh = MissingValueHandler(strategy="knn")  # 'mean', 'median', 'mode', 'knn', 'iterative'
df_clean = mvh.fit_transform(df)
mvh.compare()   # show before/after missing counts
mvh.to_sklearn()