[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 the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, check_elements_in_list, fetch_column

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

# MY SOLUTION BEGIN:
