Association Rule Mining in PyCaret

Association Rule Mining in Python using PyCaret
PyCaret’s Association Rule Mining Module uses rule-based machine learning algorithm for discovering interesting relationship between variables in dataset.
It is intended to identify strong rules using measures of interestingness. This module automatically transforms any transactional database into a shape that is acceptable for the apriori algorithm.
The applications of Association Rule Mining are found in Marketing, Basket Data Analysis (or Market Basket Analysis) in retailing, clustering and classification.
To learn more about anomaly detection in pycaret : www.pycaret.or...
GitHub : www.github.com...
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[@mitrabhanuroutkali]

Hi there moez,i know u must be quite busy right now.u have done a great job.
It will be better if u deploy model into production like using flask or streamlite it will be very helpful
I tried to build model from pycaret ,thenuse it in streamlite it was a failure.i know i must have done something wrong .it will be better if u made some video about it ,it will be helpful for everyone

[@nandacoumaru7485]

Does this include any Frequent pattern extraction or only the association rules?