C++ Header-only FP-growth library

Contains FP Tree and FP Growth, decision tree implementation and small programs developed using Tensorflow

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

Data Science/AI Course Work

Find interesting patterns with unsupervised learning on Census-Dataset

Collaborative Filtering and Association Rule Mining App

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

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.

Usage of FPGrowth Algorithm to find frequent item sets

2020-2학기 Data Structure 프로젝트

Data Mining Algos

Association Rules

Analyze various classification models on codon-usage dataset, Implementing Apriori and FP-growth algorithms from scratch in python 3 along with some modifications to improve performance

IntelliCart: Market Basket Optimization on GitHub. ReactJS frontend utilizes Apriori, Elcat, FP-Growth ML algorithms via FastAPI backend. Seamless integration with Axiom for real-time product suggestions based on user's cart, updating UI dynamically.

Algorithm implementation of data mining