https://github.com/NiranjanStack/Customer-Behavior-Analysis-in-R-Shiny
Analyzing transactions of a retailer to predict promotional items.
https://github.com/NiranjanStack/Customer-Behavior-Analysis-in-R-Shiny
analysis analyzing-transactions data-science machinelearning-r predictive-analytics retailer shiny shiny-apps svm-model
Last synced: 4 months ago
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Analyzing transactions of a retailer to predict promotional items.
- Host: GitHub
- URL: https://github.com/NiranjanStack/Customer-Behavior-Analysis-in-R-Shiny
- Owner: NiranjanStack
- Created: 2016-02-18T22:08:03.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-01-10T00:06:39.000Z (over 8 years ago)
- Last Synced: 2024-08-13T07:13:38.552Z (8 months ago)
- Topics: analysis, analyzing-transactions, data-science, machinelearning-r, predictive-analytics, retailer, shiny, shiny-apps, svm-model
- Language: R
- Size: 863 KB
- Stars: 4
- Watchers: 2
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- jimsghstars - NiranjanStack/Customer-Behavior-Analysis-in-R-Shiny - Analyzing transactions of a retailer to predict promotional items. (R)
README
# Customer-Behavior-Analysis-in-R-Shiny
Analyzing transactions of a retailer to predict promotional items.
The dataset has previous five years purchase transactions of customers. Predictive analysis is done by applying machine learning
algorithms to find the most frequent item sets purchased.
Aprioir Algorithms : To generate associatin rules and find the most frequent item sets.
Support Vector Machines : To predict the month of the year in which the sales of a particular item is maximum.
Shiny (Library in R) is used to display the results.
Shiny Dashboard: https://niranjanrshiny.shinyapps.io/Prediction_App/