A Machine Learning Model for a Retail Superstore chain seeking to gain insights on the performance of each of its stores and make strategic decisions on its operating model. As a Data Scientist analyzed the data provided and helped the client predict the sales at the register in current hour based on the sales attribute associated with each store.
As a Data Scientist I analyzed the data provided and helped the client predict the sales at the register in current hour based on the sales attribute associated with each store.
The given data consists of 4 broad attribute types:
Register: Attributes related to the register at which the sales transaction has taken place
Cashier: Attributes related to cashier working at the register
Store: Attributes related to a particular store
Region: Attributes related to a group of stores in the region