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Data Partitioning: Split the data into train and test. The training data should contain 8 0 % of the full data and the test data
Data Partitioning: Split the data into train and test. The training data should contain of the full data and the test data should contain the most recent of the full data. Same data partition as used in the last question.
Build a Simple Exponential Smoothing model set the 'initializationmethod' parameter value as 'estimated' and when using the fit' command, please do make sure that the parameter is optimizedTrue and calculate the Root Mean Squared Error on the test data. For this particular model, take logarithm on both the training and test data.
Hint: Use the function nplog where numpy has been imported under the alias np
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