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https://github.com/paulhendricks/kaggle-rossmann-store-sales

Kaggle: Rossman Store Sales
https://github.com/paulhendricks/kaggle-rossmann-store-sales

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Kaggle: Rossman Store Sales

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## [Kaggle: Rossmann Store Sales](https://www.kaggle.com/c/rossmann-store-sales)



[![Build Status](https://travis-ci.org/paulhendricks/kaggle-rossmann-store-sales.svg)](https://travis-ci.org/paulhendricks/kaggle-rossmann-store-sales)



This is a project to learn more about [time series forecasting](https://en.wikipedia.org/wiki/Time_series) for store sales.



### Description



 Forecast sales using store, promotion, and competitor data



Rossmann operates over 3,000 drug stores in 7 European countries. Currently,

Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied.



In their first Kaggle competition, Rossmann is challenging you to predict 6 weeks of daily sales for 1,115 stores located across Germany. Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation. By helping Rossmann create a robust prediction model, you will help store managers stay focused on what’s most important to them: their customers and their teams! 



* Started: 12:02 pm, Wednesday 30 September 2015 UTC

* Ends: 11:59 pm, Monday 14 December 2015 UTC (75 total days)

* Points: this competition awards standard ranking points

* Tiers: this competition counts towards tiers