[USER (data scientist)]: Thanks! Finally, let's create scatter plots for loan approval rates vs. age and credit amount. Please generate and display scatter plots to visualize the relationships between loan approval rates ('class_binary') and both 'age' and 'credit amount' in the 'credit_customers' dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import matplotlib.pyplot as plt 
import seaborn as sns 
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 

# Plot scatter plots 
fig, axes = plt.subplots(2, 2, figsize=(12, 8)) 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

plt.tight_layout() 
plt.savefig('pred_result/scatterplot_3.png')
plt.show()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! Here are the scatter plots for loan approval rates vs. age and credit amount:
'''
import pandas as pd 
import matplotlib.pyplot as plt 
import seaborn as sns 
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 

# Plot scatter plots 
fig, axes = plt.subplots(2, 2, figsize=(12, 8)) 
 
# YOUR SOLUTION BEGIN:
