C++ Header-only FP-growth library

Data Science/AI Course Work

Frequent Pattern Mining Using FP-Growth

Find interesting patterns with unsupervised learning on Census-Dataset

Mlxtend, Association_rules, Apriori, FP Growth

FPGrowth Algorithm implementation in TypeScript / JavaScript.

Python Big Data programming tasks for institute

To answer which items are frequently bought together we will be using Apriori & FPgrowth Algorithm

Collection of my data science notebooks.

Finding frequent itemsets using Apriori and FP Growth algorithm on Spark

Grocery Shopping Cart Analysis Using Fp Growth & Apriori Algorithm

A simple project using the 2 most popular association mining algorithms

Machine Learning Algorithm Implementation from Scratch using Pyhon

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

Collaborative Filtering and Association Rule Mining App

Experimentações feitas com as técnicas de Agrupamento, Associação e Classificação. Utilizando DBSCAN, FPGrowth e Ensemble de RNAs.

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.