# Define the name of the target class column here instead of manually typing it out everywhere
target_class_name = 'Churn'

# Fill in the names of what you want to call the 0 and 1 class
labels = ['No', 'Yes']

input_file_name = 'WA_Fn-UseC_-Telco-Customer-Churn.csv'

intermediate_data_path = 'intermediate data/'

output_df_file_name = 'week1_cleaned_df_output_'

# Enter the date in which this notebook is run
export_date = '20190925'

# Check ou tthe names of the files in the input folder that we need to load as dataframe
import os
print(os.listdir('input'))
# This will list all the files in this folder