Deep Learning, Stock Prediction, Python, Financial Analysis, Programming.
Forward fill any missing values stocks_data[symbol].fillna(method='ffill', inplace=True) # Backward fill any remaining missing values stocks_data[symbol].fillna(method='bfill', inplace=True) # Normalize the data using the percentage change of the closing price stocks_data[symbol]['Close'] =