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This repository has been archived by the owner on Mar 15, 2024. It is now read-only.

rpribau/TC2004-Reto-Front

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TC2004-Reto

During the class TC2004B - Data Science Analysis, we develop a business tool for Don Colchon to forecast their sales using ML models such as:

  • RandomForest
  • SARIMAX
  • XGBoost

For disclosure statement made by Don Colchon, we are NOT going to share the original information used during this project.

Usage

Just select one of the model appearing in the main screen and a window will apeart with the following metrics:

  • MSE (Mean Square Error)
  • MAPE (Mean Absolute Percentage Error)
  • R^2 (Cofficient of determination)