[USER (data scientist)]: Lastly, can you show me the feature importances of the logistic regression model? Please generate and display a DataFrame showing the feature importances calculated from the logistic regression model coefficients in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle

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

print("\nFeature Importances:") 
print(feature_importances) 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! To display the feature importances, you can create a DataFrame with the coefficients of the logistic regression model. Here's the code for that:
'''
import pandas as pd 
import pickle

# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
