[USER (data scientist)]: Hey, I've got this dataset called "stable_employment" and I need to do some filtering based on the 'housing' column. Can you help me out with filtering for clients who have 'rent' as their housing type? 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, fetch_column, logical_or, filter_by_condition, count_rows

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

print(f"rented_housing: {rented_housing}")  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Absolutely! To filter the clients with 'rent' as their housing type, you can use this code:

# MY SOLUTION BEGIN:
