1. get_dummies() df_dum = pd.get_dummies(df_obj) df_dum 2. One-Hot Encoder from sklearn.preprocessing import OneHotEncoder ohe = OneHotEncoder(handle_unknown='ignore') #명목형만 빼서, X_train_obj = ohe.fit_transform(X_train[col_cate]) X_test_obj = ohe.transform(X_test[col_cate]) 3. One-Hot Encoding 적용 후 합치기 (1) concat 사용 X = pd.concat([df_screen_rem, df_dum], axis=1) (2) sparse 사용 from scipy import sp..