Finance, Python, Deep Learning, Analytics, Artificial Intelligence.
ultimately lead to a more robust and accurate model that is better equipped to handle real-world data. from sklearn.preprocessing import MinMaxScaler # Scale the features scaler = MinMaxScaler() train_scaled = scaler.fit_transform(train_df.drop('Close', axis=1)) test_scaled =