Python, Technology, Stock Market, Data Science, Machine Learning.
cluster labels to the stock_data DataFrame. Finally, we return the updated stock_data with cluster labels. Step 4: Generating Portfolio Recommendations After performing clustering, we can generate personalized portfolio recommendations for investors based on their risk tolerance and investment