GitHub topics: association-rule-learning

Repositories

sabin74/Customer_segmentation_and_product_recommendation

This project combines Unsupervised Learning techniques Clustering (KMeans, DBSCAN, Agglomerative, MeanShift, GMM) and Association Rule Mining (Apriori) to analyze customer purchase behavior from an online retail dataset.

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

nurulashraf/eclat-market-research

This notebook explores market basket analysis using the ECLAT algorithm with pyECLAT. It identifies frequent itemsets in a sample dataset to reveal customer co-purchasing patterns, offering valuable insights for business intelligence and marketing strategies.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Shriyaak/MachineLearning.studyjournal.1

This repository contains my study and practice of key machine learning concepts, including:

Language: Jupyter Notebook - Size: 239 KB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ashishpatel26/Market-Basket-Analysis

Association rule mining is a technique to identify underlying relations between different items.

Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 66 - Forks: 52

avrtt/retail-upselling

A pipeline for market basket analysis aimed at identifying product associations to optimize retail promotions and bundle deals using SQLite, mlxtend & D3.js

Language: HTML - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

KKeshav1101/ML_AtoZ-Using-Python

Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"

Language: Jupyter Notebook - Size: 3.23 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

5ss90/Market_Basket_Analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

Language: Jupyter Notebook - Size: 203 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

xaxm007/MLchemy

A workspace related to all my Machine Learning study.

Language: Jupyter Notebook - Size: 214 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

farooqueesamiya/Association-Rule-Learning-Apriori-Eclat

In this repository, we will explore apriori and eclat algorithms of association rule learning models for market basket optimization.

Language: Python - Size: 67.4 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

EbadShabbir/Apriori-Algorithm

This repository contains a Python-based implementation of the Apriori Algorithm for performing Market Basket Analysis, a popular data mining technique used to discover associations between items in transactional datasets.

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Mohamed-Walied/Customer-Behavior-Analysis-using-R

Customer Behavior Analysis project utilizing the "Groceries Market Basket Dataset" from Kaggle. The project employs a data-driven approach to uncover customer purchasing patterns and relationships within the grocery market using K-means Clustering and Association Rules using Apriori-Algorithm. In collaboration with some friends.

Language: R - Size: 810 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

chetandudhane/retail-analytics-mba

Market Basket Analysis of Point of Sale data of a grocery store to generate recommendations to increase spends

Language: Jupyter Notebook - Size: 13 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

damianstone/ML-algorithms

From data preprocessing to deep learning

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rafaelgustavofurlan/machinelearningmodelsinr

It's a little knowledge base using some scripts that I faced in my professional life.

Language: R - Size: 451 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

atakankizilyuce/association_rule_learning

Association Rule Learning project on online_retail_II dataset, you can read the readme file for the details of the project. You can find the link of the dataset in the codes.

Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Hawmex/apriori

Association Rule Learning with Apriori.

Language: Dart - Size: 2.23 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

Raghavendra0827/Market_Basket_Analysis

This project is a Market Basket Analysis App that analyzes customer purchase patterns to generate association rules and offer personalized product recommendations.

Language: Python - Size: 0 Bytes - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

nikhil-iyer-97/fp-tree-implementation

Association rule generation using FP Growth algorithm

Language: C++ - Size: 13.7 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

hmtalha786/Book-Recommendation-System

Collaborative Filtering based Recommender for books

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Neill-Erasmus/market-basket-optimization

Using the apriori association rule learning algorithm to identify goods commonly associated and purchased together.

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Waghraj1699/machine-learning

This repository consists of the code files of th ML algorithms which I have implemented during the machine learning course.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vadniks/akaBigData

Technologies and tools for big data analysis

Language: Python - Size: 1.9 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

simgeilaydameric/association-rules

Ülkelere göre birliktelik kuralları çıkarmak için tasarlanmış Python projesi; veri manipülasyonları, tanımlayıcı veri analizi, görselleştirme, veri ön-işleme ve birliktelik analizi adımlarını içerir.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

REAtes/Recommendation-Systems-For-E-Commerce

By examining the products that customers purchase together, we will provide recommendations to similar shoppers. This is a data mining approach that can be used to enhance customer satisfaction and increase sales.

Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

senanurbalcioglu/armutCompany_ARL

Association Rule Learning

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

grknc/NeOkusam-Book-Recommendation-Project

Book_Recommendation_Project

Language: Jupyter Notebook - Size: 5.99 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

amir-hojjati/Data-Analysis-Online-Retail-Transactions

This repository is created to represent the processing and the analysis that has been done on this online retail dataset.

Language: Jupyter Notebook - Size: 37.7 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 10

kailash-turimella/AssociationRuleLearning

Machine Learning Models using Python (Association Rule Learning)

Language: Python - Size: 70.3 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

nsb700/association-mining-webapp

Association Mining Deployment as an API Web Application

Language: Python - Size: 540 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

f-ssemwanga/machine-learning-az

This is a collection of different machine learning algorithms that I have been working on during my master's program show casing my knowledge of different ML algorithms

Language: Jupyter Notebook - Size: 857 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

shubhamjha97/association-rule-mining-apriori

Association rule mining using Apriori algorithm.

Language: Python - Size: 1.66 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 14

gemini30/Association-Rule-Learning

Language: Python - Size: 46.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

KimRass/rec_sys_using_customer_data_and_dl

This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

aadimangla/Market-Basket-Optimization

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) at the same time than somebody who didn't buy beer.

Language: Python - Size: 432 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 3

rjtmahinay/fuzzy-association-rule-mining

Comparison of Apriori and FP-Growth Algorithm in accuracy metrics, execution time and memory usage for a prediction system of dengue.

Language: Python - Size: 113 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 11

Sanjeevh2022/MARKET-BASKET-ANALYSIS

Market Basket Analysis on transactions information of a cafe using Associative Rule Learning/ Apriori

Language: R - Size: 751 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

antononcube/WL-AssociationRuleLearning-paclet

Wolfram Language (aka Mathematica) paclet for association rule learning.

Language: Mathematica - Size: 211 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AlistairLR112/EnglandCrimeAssociations

Finding Association Rules between Location, Crime Type and Crime Outcome of Crime in England

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 3

farhanchoudhary/Machine_Learning_A-Z_All_Codes_and_Templates

All codes, both created and optimized for best results from the SuperDataScience Course

Language: Python - Size: 5.7 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 31 - Forks: 32

NaynaJahan/Identifying-best-deals-recommended-paired-products-using-Association-Rule-Learning-Apriori

Identifying best deals (recommended pairs for market optimization deals to optimize profits) using Apriori model which is an Association Rule Learning model.

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

sourcecode369/ml-algorithms-on-scikit-and-keras

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 12

ZohebAbai/ML-Projects-in-Python-and-R 📦

Similar projects both in python and R for comparision study

Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

yusufkesici/Association-Rule

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

devdatta95/Market-Basket-Analysis-On-Retail-store-in-R

Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.

Language: R - Size: 21.3 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 2

tohid-yousefi/Association_Rule_Learning_Recommender_Online_Retail_ii

In this section i will create a association rule learning recommender on the online_retail_ii dataset

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tohid-yousefi/Armut_Association_Rule_Learning_Recommender_System

In this section i will create a association rule learning recommender on the Armut dataset

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

oguzerdo/recommender-systems

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

naman2040/Market-Basket-Optimization

(ASSOCIATION RULE LEARNING) : We are given with 7501 transaction of a Famous Commodity Shop. We have to find the Best Suited Pair for Buy 1 Get 1 offer, that is to be given by the Shop Owner. So here I have used APRIORI Model to select most Relevant Pairs.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 3