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01_​Data_​Preparation

Recomendation Engine for Retailers - Data Preparation

This solution provides the users with a recommendation or a best guess for the product likely to be sold at a store level. Store managers and other target personas (product team) can support their decision making based on this recommender engine. As a result, more informed decisions are expected regarding their respective product portfolios. The user can also take a stock of the most important KPIs of the selected shop.

Data Manipulation KPI Calculations Use Case 3: Recomendation Engine for Retailers - Data PreparationThis solution provides the users with a recommendation or a best guess for the productlikely to be sold at a store level. Store managers and other target personas (product team)can support their decision making based on this recommender engine. As a result, moreinformed decisions are expected regarding their respective product portfolios. The user canalso take a stock of the most important KPIs of the selected shop.For running the script in the python node, either have the Anaconda distribution installed orif using a standard python distribution do have:- latests version of python 2- pip installed- Install sklearn, protobuf and pandas library by using pip Importing data &Manipulating data KPI Calculations Data Manipulation KPI Calculations Use Case 3: Recomendation Engine for Retailers - Data PreparationThis solution provides the users with a recommendation or a best guess for the productlikely to be sold at a store level. Store managers and other target personas (product team)can support their decision making based on this recommender engine. As a result, moreinformed decisions are expected regarding their respective product portfolios. The user canalso take a stock of the most important KPIs of the selected shop.For running the script in the python node, either have the Anaconda distribution installed orif using a standard python distribution do have:- latests version of python 2- pip installed- Install sklearn, protobuf and pandas library by using pip Importing data &Manipulating data KPI Calculations

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