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price data by normalizing the values between 0 and 1. """ min_val = np.min(data) max_val = np.max(data) normalized_data = (data - min_val) / (max_val - min_val) return normalized_data, min_val, max_val In the download_stock_data function, we use the yfinance library to download the historical stock