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September 27, 2021

Forecasting Notes - Forecasting Daily Supermarkets Sales with Machine Learning

Paper - Forecasting Daily Supermarkets Sales with Machine Learning

Key Notes

  • Facebook Prophet is an additive and decomposable model with three main components. Trend, Seasonality and Holidays
  • XGBoost is an abbreviation of extreme gradient boosting and is based on the gradient tree boosting methods
  • LSTM is an acronym for long short-term memory and is an artificial neural network that is based on a recurrent neural network (RNN) architecture
  • Utilizing weather as a predictor in machine learning models can increase the predictive performance and thus improving the results according
  • Public holidays
  • Missing values regarding sold quantity could have two underlying reasons, there was no sale of that product at that store at that particular date or that the information was missing.
  • Weekdays feature, ranging from 0 to 6, where 0 corresponds to Mondays and 6 to Sundays.



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