[USER (data scientist)]: Alright, now I need to filter the dataset based on good credit history, age group, and stable employment. How do I do that? Please generate a DataFrame of customers with good credit history, age between 25 and 45, and stable employment.
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("target_customers:\n", target_customers) 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: You can filter the dataset using the following code:
'''
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:
