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Big Mart Sales Prediction
11. 20. 2017 Ver.1
APAN 5200
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Data Exploration - summarizin
g the main characteristics of a dataset and finding errors
Data Cleaning - correcting th
e errors in the data (filling, replacing, deleting, modifying, etc)
Plots - looking for useful in
formation from the data
Challenge & Next Step
Resource:
https://www.analyticsvidhya.c
om/blog/2016/02/bigmart-sales-solution-top-20/
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Problem Statement
Background
The data scientists at BigMar
t have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined.
Objective
The aim is to build a predict
ive model and find out the sales of each product at a particular store.
Using this model, BigMart wil
l try to understand the properties of products and stores which play a key role in increasing sales.
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Data Exploration (ÀÌÇÏ »ý·«)
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