Download PDFOpen PDF in browserRetail Store Sale PredictionEasyChair Preprint 48037 pages•Date: December 25, 2020AbstractIn the following project, we have applied machine learning to a real world problem of predicting retail stores sales. Such predictions helps store managers in creating effective staff schedules that increase productivity. We used popular open source programming language Python and used its libraries like NumPy, scikit-learn, pandas , matplotlib for modelling, analysis and prediction and visualization. We have used different techniques like regression, ensemble and XGB regression. In view of nature of our problem, Root Mean Square Error (RMSE) is used to measure the prediction accuracy Keyphrases: Ensemble, NumPy, RMSE, XGB regression, machine learning, scikit-learn
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