Update preprocess.py

preprocess.py

@@ -26,7 +26,7 @@ def parse(csv_path):
 
     # Normalize numerical features
     scaler = MinMaxScaler()
-    numerical_features = ['product','campaign_id','webpage_id','user_depth',"product_category_1","product_category_2","user_group_id", 'age_level',"user_depth", 'city_development_index', 'var_1']
+    numerical_features = ['campaign_id','webpage_id','user_depth',"product_category_1","product_category_2","user_group_id", 'age_level',"user_depth", 'city_development_index', 'var_1']
     data[numerical_features] = scaler.fit_transform(data[numerical_features])
     data.to_csv('data/03 normalize.csv', index=False)