ML_Project Problem Statement:
A Retail Superstore chain wants to gain insights into the performance of each of its stores and make strategic decisions on its operating model. As a Data Scientist, you are required to understand the data provided and help the client predict the sales at the register in the 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
Problem Statement: Predict the sales at the register in the current hour and prioritize the individual attributes that affect the sales.