Similar to One-hat encoding.
It maps N features to N-1 variables my setting first one to all-zero.
Pandas
encoded = pd.get_dummies( df, columns=["Col1"], drop_first=True, prefix="C" )
Eliminates duplicate columns. Take gender as example.
Similar to One-hat encoding.
It maps N features to N-1 variables my setting first one to all-zero.
Pandas
encoded = pd.get_dummies( df, columns=["Col1"], drop_first=True, prefix="C" )
Eliminates duplicate columns. Take gender as example.