[USER (data scientist)]: Got it! Now, how do I separate the features and target variables? Please generate the code with the output in [dataframe, series] type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd   
import pickle
from decision_company import read_csv_file, encoder_instance, encode_column, fetch_column, divide_dataset, create_LR_instance, classifier_training, classifier_predictions, calculate_conf_mat, calc_acc

# Load the dataset   
credit_customers = read_csv_file("credit_customers.csv")   
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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:

# MY SOLUTION BEGIN:
