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    Jupyter Notebook
  • Created over 5 years ago
  • Updated over 5 years ago

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Repository Details

Using sales per POS data and surroundings of each POS, identifies important attributes in the surroundings. Random Forest, Gradient Boosting and Linear Regression used. It is written in Python.