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arunm8489/rnn18

Created August 1, 2020 13:55
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rnn18
# handling numeric features
train_numeric = np.concatenate((X_train['price'].values.reshape(-1, 1),X_train['teacher_number_of_previously_posted_projects'].values.reshape(-1, 1),X_train['quantity'].values.reshape(-1,1),X_train['presence_of_num'].values.reshape(-1, 1)),axis=1)
test_numeric = np.concatenate((X_test['price'].values.reshape(-1, 1), X_test['teacher_number_of_previously_posted_projects'].values.reshape(-1, 1),X_test['quantity'].values.reshape(-1,1),X_test['presence_of_num'].values.reshape(-1, 1)),axis=1)
stndardscalar = StandardScaler()
std_train_numeric = stndardscalar.fit_transform(train_numeric)
std_test_numeric = stndardscalar.transform(test_numeric)
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