https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots
https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books

apriori-algorithm association-rules data-science machine-learning numpy pandas python unsupervised-machine-learning

Last synced: 3 days ago
JSON representation

Prepare rules for the all the data sets 1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values 2) Change the minimum length in apriori algorithm 3) Visulize the obtained rules using different plots

• Host: GitHub
• URL: https://github.com/gandhasiri-rahul-mohan/association-rules-q1-books
• Owner: Gandhasiri-Rahul-Mohan
• Created: 2022-12-31T16:09:12.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-31T16:10:41.000Z (about 2 years ago)
• Last Synced: 2024-11-14T13:23:43.722Z (2 months ago)
• Topics: apriori-algorithm, association-rules, data-science, machine-learning, numpy, pandas, python, unsupervised-machine-learning
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Association-Rules-Q1-Books

Prepare rules for the all the data sets

1) Try different values of support and confidence. Observe the change in number of rules for different support,confidence values. 

2) Change the minimum length in apriori algorithm. 

3) Visulize the obtained rules using different plots.