GitHub - mztrk/Case-SalesPredictionviaSurroundings: 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.

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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.

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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.

python attributes linear-regression pos gradient-boosting

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