[USER (data scientist)]: Got it! Now, how do I separate the features and target variables? Please generate a DataFrame and a Series to represent the features and the target variable from the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(X)

# save data
pickle.dump(X,open("./pred_result/X.pkl","wb"))

print(y)

# save data
pickle.dump(y,open("./pred_result/y.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can simply select the columns you want to use as features and target variables using pandas. Here's how you can do that:
'''
import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first
 
# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
