Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9972
Title: | Market Basket Analysis of Instacart |
Authors: | Sethi, Reet Kaur, Anupriya [Guided by] Kanji, Rakesh [Guided by] |
Keywords: | Market basket analysis Grocery |
Issue Date: | 2023 |
Publisher: | Jaypee University of Information Technology, Solan, H.P. |
Abstract: | Market Basket Analysis is primarily one of the data mining techniques which is utilized by retailers to discover key associations between items or items or goods. The goal of the effective study of items bought along with is to enhance customer satisfaction and improve the supplier’s sales while increasing profitability. Instacart is an America-based grocery store that provides same-day delivery. The main purpose of this project is to utilize the open data file provided by Instacart to uncover customer purchase arches using transactional orders, descriptive analysis on items bought along with, and finding rules to enhance sales of the store. Various models have been developed to mine the association rules. |
Description: | Enrollment No. 191222 |
URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9972 |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Market Basket Analysis of Instacart.pdf | 3.6 MB | Adobe PDF | View/Open |
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