애널리틱스, 빅데이터_판매 예측모델 프로젝트 발표자료_Columbia Univ_Project Deliverable Presentation_ Big Mart Sales Prediction
- 최초 등록일
- 2020.12.26
- 최종 저작일
- 2019.12
- 11페이지/
MS 파워포인트
- 가격 2,000원
소개글
"애널리틱스, 빅데이터_판매 예측모델 프로젝트 발표자료_Columbia Univ_Project Deliverable Presentation_ Big Mart Sales Prediction"에 대한 내용입니다.
목차
1. Resource
2. Problem Statement
3. Data Exploration - description
4. Data Exploration - errors
5. Data Cleaning
6. Plots 1
7. Plots 2
8. Challenge
본문내용
Background
The data scientists at BigMart 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 predictive model and find out the sales of each product at a particular store.
Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
참고 자료
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