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Is there a simple way to label encode without using pandas for multiple columns?
Like using only numpy and sklearn's preprocessing.LabelEncoder()
preprocessing.LabelEncoder()
string
LabelEncoder
One solution would be to loop through the columns, converting them to numeric values, using LabelEncoder:
le = LabelEncoder() cols_2_encode = [1,3,5] for col in cols_2_encode: X[:, col] = le.fit_tramsform(X[:, col])
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