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get frustrated with poor results when deploying the model. ML 101 kids: keep you data distributions as similar as possible between training data and test data. # Remove unecessary features df_agg.drop('last_purchase_category', axis=1, inplace=True) df_agg.drop('last_purchase_brand', axis=1,