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Projects in Awesome Lists tagged with fpgrowth

A curated list of projects in awesome lists tagged with fpgrowth .

https://github.com/chonyy/fpgrowth_py

🔨 Python implementation of FP Growth algorithm, new and simple!

data-mining fp-growth fpgrowth machine-learning python

Last synced: 14 Jan 2026

https://github.com/biolab/orange3-associate

🍊 :package: Frequent itemsets and association rules mining for Orange 3.

apriori association-rules confidence fpgrowth frequent-itemsets frequent-pattern-mining market-basket-analysis orange support

Last synced: 14 Aug 2025

https://github.com/riju18/frequent_pattern_association_rule_fpgrowth

Though aPriori is used mostly all over the world & has become famous to find frequent pattern & generate association rules, even then the 'fpgrowth' has come. and it has become fabulous because of its time efficiency, using less memory & less runtime.

association-rules fpgrowth jupyter-notebook machine-learning python3

Last synced: 02 May 2026

https://github.com/ibrahimm7004/supermarket-sales-analysis

This project focuses on Data Mining techniques to gather inisights about customer behaviour regarding Supermarket Sales. Includes: Association Rule Mining, Temporal Patterns in customer behavior, Sequential Pattern Mining, Classification, Regression, and Outlier Detection.

apriori association-rules data-analysis data-mining data-science data-visualization fpgrowth python sales-analysis supermarket-sales

Last synced: 04 May 2026

https://github.com/elifftosunn/rfm-customers-analysis

RFM analysis focuses on identifying and segmenting customers based on their purchasing behavior. Analyzed to understand and interact with customers. It can be used together for more effective marketing and customer management strategies.

apriori-algorithm association-rules cohort-analysis datetime fpgrowth kmeans-clustering matplotlib-pyplot minmaxscaler numpy pandas python3 rfm rfm-analysis seaborn silhouette-score sklearn tableau

Last synced: 09 Apr 2026

https://github.com/ninadpatil09/sales-market-basket-analysis

An overview of how to perform Sales Market Basket Analysis using PySpark, focusing on the steps from data preprocessing to association rule mining. It is a method used by retailers to uncover patterns in customer purchasing behavior, involves analyzing the items that customers frequently buy together and associations between products

association-rule-mining fpgrowth marketbasketanalysis pyspark

Last synced: 17 Jun 2026