[USER (data scientist)]: Awesome! Now, how about normalizing the data by dividing each value by the max value in its row?  Please generate a DataFrame displaying the normalized yearly demand for suburbs in the Melbourne housing dataset, and save this DataFrame as a pickle file.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import pickle

melbourne_housing = pd.read_csv("melb_data.csv") 

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END:

print(normalized_suburb_yearly_demand)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: You got it! Use the div function from pandas to normalize the data: 
