DNNFR_B2.py

def get_data():
    #get train data
    train_data_path ='train.csv'
    train = pd.read_csv(train_data_path)
    
    #get test data
    test_data_path ='test.csv'
    test = pd.read_csv(test_data_path)
    
    return train , test

def get_combined_data():
  #reading train data
  train , test = get_data()

  target = train.SalePrice
  train.drop(['SalePrice'],axis = 1 , inplace = True)

  combined = train.append(test)
  combined.reset_index(inplace=True)
  combined.drop(['index', 'Id'], inplace=True, axis=1)
  return combined, target

#Load train and test data into pandas DataFrames
train_data, test_data = get_data()

#Combine train and test data to process them together
combined, target = get_combined_data()