kNN-based next-basket recommendation
rnn based model for recommendations
🍊 📦 Frequent itemsets and association rules mining for Orange 3.
About Next Basket Recommendations Based on Neural Network.
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…
Market Basket Analysis using Apriori Algorithm on grocery data.
Agile software development for a WebApp that prompts users to search, purchase products, and then recommends two items frequently bought together.
Market basket analysis of retail and movie datasets using brute force and apriori algorithm
The Investopia project is a software tool which helps investors identify reliable opportunities given the current investment landscape. The tool works by utilising real-time information such as asset pricing, network fees and momentum data from global financial markets to segregate optimal opportunities with the least amount of measurable risk
Market Basket Analysis using Hadoop MapReduce in Python
Python implementation for the market basket analysis.
This repository contains my data mining laboratory works from the 4th course of Computer Science in KhNU by the name of V. N. Karazin.
Improved implementation of Apriori algorithm.
In this repository, we will explore apriori and eclat algorithms of association rule learning models for market basket optimization.
Machine learning Algorithms
Conducted customer sales segmentation and affinity analysis on chip sales to identify groups to target for advertisements and promotions.
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