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Over the past decade, the fashion industry has shifted towards dynamic product assortments with shorter life cycles. As a result, the role of the analysis of product sales has increased and become crucial for fashion retailers. Using H&M Group’s dataset on their product sales, I analyze and compare the performance of two machine learning algorithms in predicting the standard deviation and aver
