Python, Technology, Stock Market, Data Science, Machine Learning.
root of the number of trading days in a year. Finally, we create a new stock_data DataFrame with the calculated returns and volatility, drop any remaining rows with missing values, and return the preprocessed data. Step 3: Performing K-means Clustering Now that we have preprocessed the data, we can