[USER (data scientist)]: I will generate the code to identify customer segments in the credit_customers dataset that have a good credit history, are in the age group of 25-45, and have stable employment status. The result type will be a list of target customer segments meeting the specified criteria. 
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, col_copy, create_standard_scaler, fit_transform_standard_scaler, create_label_encoder, fit_transform_label_encoder, get_dummies, create_kmeans, fit_predict_kmeans, fetch_column, check_elements_in_list, extract_unique_values, convert_np_to_list, col_assign_val

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

print("target_customer_segments:\n", target_customer_segments)  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, I can help you:

# MY SOLUTION BEGIN:
