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A minimalistic framework for Numerical Association Rule Mining
Analytics and Systems of Big Data
A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.
Apriori for association rule mining with Python bindings 🦀🐍
universal Association Rule Mining Solver
"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.
Market Basket Analysis What is it? Market Basket Analysis is a modelling technique based upon the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. For example, if you are in an English pub and you buy a pint of beer and don't buy a bar meal, you are more likely to buy crisps (US. chips…
This repository contains the three-part capstone project made for the DTU Data Science course 02450: Introduction to Machine Learning and Data Mining