EllenNewerkla/Apriori-Analise_Cesta_De_Mercado

Análise de Cesta de Mercado (Market Basket Analysis) utilizando o algoritmo Apriori para identificar regras de associação entre produtos em um conjunto de transações de supermercado.

Language: Jupyter Notebook - Size: 141 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

gajrakrupa/Instacart-Market-Basket-Analysis

Apriori-based Market Basket Analysis using Instacart Online Grocery Data | Python + Power BI

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Avinash793/FPGrowth-and-Apriori-algorithm-Association-Rule-Data-Mining

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

Language: Python - Size: 3.1 MB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 25

shahzadmustafa15/market-basket-analysis-apriori

Apriori-based market basket analysis on Kaggle's grocery dataset using Python and MLxtend. Includes data preprocessing, item frequency analysis, and association rule mining.

Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

higorfct/Recommender-System

Creating an Product Recommender System with Apriori and FPGrowth.

Language: Jupyter Notebook - Size: 120 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

pharo-ai/a-priori

Implementation of A-Priori algorithm in Pharo

Language: Smalltalk - Size: 139 KB - Last synced at: 17 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1

zverianskii/python-arulesviz

Arulesviz - interactive association rules vizualization tool for python

Language: Python - Size: 25.5 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 31 - Forks: 15

madhurimarawat/Intelligent-Data-Analysis

This repository contains data analysis programs in the Python programming language.

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 13 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

AngeloCassano/AprioriClient

Client del progetto Apriori realizzato nel corso dell'esame di MAP

Language: HTML - Size: 120 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AngeloCassano/AprioriServer

Server del progetto Apriori realizzato nel corso dell'esame di MAP

Language: HTML - Size: 878 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

VanKurnia/Market-Basket-Analysis-App

Laravel dashboard web app for market basket analysis using historical retail store sales dataset

Language: Blade - Size: 3.62 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MAHMOUD2ABDALLAH/Elezaby-Pharmacy-e-commerce-digital-analysis-Case-study

The project involves cleaning and preparing three raw datasets Products, Orders, and Order-Products and applying advanced analytics techniques to understand sales performance, customer behavior, and product dynamics.

Size: 3.85 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

tommyod/Efficient-Apriori

An efficient Python implementation of the Apriori algorithm.

Language: Python - Size: 467 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 338 - Forks: 60

chonyy/apriori_python

🔨 Python implementation of Apriori algorithm, new and simple!

Language: Python - Size: 4.27 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 69 - Forks: 36

fatihsen20/Frequent-Mining-Algorithms

"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.

Language: Python - Size: 68.4 KB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 11 - Forks: 0

TuanAnh-P/SmartCart-Recommendation-Analysis

E-commerce recommendation system using collaborative filtering and association rule mining with Python

Language: Jupyter Notebook - Size: 438 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

haroldeustaquio/Data-Mining-UNAM

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 2

Khanakag-17/Supply-Chain-Optimization

A real-time supply chain optimization system — featuring shelf life prediction, route and cost optimization, and Apriori-based product analysis, all integrated into a Streamlit dashboard.

Language: Python - Size: 900 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

sarahammoudaa/retail_AI

AI-Driven Retail Insights Project using Market Basket Analysis + LSTM Forecasting

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

jonahdhadlock/aprioriAlgorithm

Attempt at Association Mining: Apriori Algorithm

Language: Python - Size: 866 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

grzesiekmq/MBA

Market Basket Analysis

Language: JavaScript - Size: 2.93 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

Athharv5/Market-Basket-Analysis-in-Python-using-Apriori-Algorithm

Market Basket Analysis using Apriori algorithm to discover product association rules and frequent itemsets from retail transaction data. Helps businesses improve product placement, cross-selling strategies, and customer purchasing insights.

Language: Jupyter Notebook - Size: 7.92 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Ayesha24banu/Customer-Purchase-Behaviour-Analysis-in-Retail

Customer Purchase Behaviour Analysis in Retail using Python, RFM Segmentation, Market Basket Analysis, and Power BI Dashboard.

Language: Jupyter Notebook - Size: 13 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NMsby/apriori-market-basket-analysis

Complete implementation of the Apriori algorithm from scratch for market basket analysis on grocery store data, including association rule generation, visualization, and business insights

Language: Jupyter Notebook - Size: 389 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

David-Langat/Machine-Learning-at-Scale

Java-based data mining project leveraging Weka and SPMF to implement association rule mining, predictive modeling, and text classification.

Language: Java - Size: 42.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RebeccaMorolong/market--basket--analysis

Market Basket Analysis using the Apriori algorithm to predict association rules and frequent itemsets from transactional data. The goal was to uncover product combinations that frequently co-occur in transactions, which can be used for recommendations, promotions, and inventory management.

Language: Jupyter Notebook - Size: 109 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

divyaj0403/stulz_proj

An interactive Streamlit dashboard for analyzing equipment failure patterns and predicting maintenance needs. Features include data visualization, root cause analysis using Apriori algorithm, and survival modeling with Random Survival Forests to estimate time-to-failure and optimize spare parts management.

Language: Python - Size: 675 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Ayrton-Milessi/TPFinal_MineriadeDatos

Repositorio para almacenar el script del Trabajo Práctico Final de Minería de Datos.

Language: R - Size: 1.35 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

shubhro2002/Market-Basket-Analysis

Using different Association Rule Mining Algorithms to establish rules between item(s) from a transactional data. 3 different algorithms were used to generate itemsets and generate candidate rules from them based on certain metrics. Link to the dataset is given below.

Language: Jupyter Notebook - Size: 170 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Sarthak-Mohapatra/Market-Basket-Analysis-using-Apriori-Algorithm-on-grocery-data

Market Basket Analysis using Apriori Algorithm on grocery data.

Language: Python - Size: 124 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 5

melogabriel/basket-analysis-apriori

This project performs association analysis on a sales dataset, using the Apriori algorithm. The dataset is loaded from an Excel file, and a basket of items is created for each transaction. The Apriori algorithm is then applied to find frequent itemsets and association rules based on the support, confidence, and lift metrics.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1

SXKA/apriori

Apriori algorithm implementation based on hash tree. Dataset: Music.txt.gz (https://snap.stanford.edu/data/web-Amazon.html)

Language: Python - Size: 37.1 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

wlj961012/LastJunior

大三上部分代码（编译，数据挖掘，计算机图形学，数据库课设）

Language: C++ - Size: 78.8 MB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 13 - Forks: 5

alvinadar/Apriori-Market-Basket-Analysis

Using Unsupervised Association Rule Base Learning -Apriori Algorithm for market basket analysis

Language: Jupyter Notebook - Size: 187 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

niktaakbarpour/JobAdvertisementAssociationRulesExtracter

A python project to extract Association Rules from IranITJobs2021 dataset using Apriori algorithm.

Language: Python - Size: 518 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

alexisfacques/node-apriori

Apriori Algorithm implementation in TypeScript / JavaScript.

Language: TypeScript - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 3

osdmaria/The-Power-of-Apriori-and-Kmeans-Algorithm-in-Data-Mining

This repository contains a study about the two famous data mining algortihms Kmeans for clustering and Apriori for predictions along with tests on datasets.

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

frizchar/apriori-algorithm

flask implementation of apriori algorithm

Language: Python - Size: 6.84 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tuni56/retail_transaction_analysis

Ever wondered why some products are frequently bought together? Using the Apriori algorithm, I analyzed real-world retail transactions to uncover hidden shopping patterns and enhance product recommendations.

Language: Python - Size: 21.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gkrishna9790/Market-Basket-Analysis

Market Basket Analysis using Apriori algorithm & Association rules

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 6

leenad007/Coffee_Shop_AI_Agents

About This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

Size: 32 MB - Last synced at: 6 months ago - Pushed at: 6 months 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: 6 months ago - Pushed at: over 6 years ago - Stars: 66 - Forks: 52

chgl16/data-mining-algorithm

:bar_chart: 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

Language: Python - Size: 8.79 KB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 25 - Forks: 7

Moataz-Elmesmary/Apriori-Algorithm-and-Association-Rule-Mining

Market Basket Analysis on Egyptian grocery transaction data using the Apriori algorithm and association rule mining. It visualizes the strongest rules using Arabic labels in both bar charts and network graphs.

Language: Jupyter Notebook - Size: 507 KB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Ehsan-Behzadi/HealthCare_Insights_Association_Rule_Mining_for_Stroke_Risk_Factors

Language: Jupyter Notebook - Size: 4.91 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

aelmah/Data-Mining

Data Mining Projects

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

CyprianFusi/market-basket-analysis-and-customers-segmentation

Data mining, market basket analysis and customers segmentation

Language: Jupyter Notebook - Size: 598 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

haxorsprogramming/Aplikasi-Analisa-Penjualan-Apriori

Aplikasi data mining untuk analisa penjualan menggunakan metode apriori berbasis web dengan framework laravel

Language: JavaScript - Size: 10.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 22 - Forks: 9

GZ30eee/mlp

DataVerse is an innovative platform that empowers users with advanced data analysis tools, enabling exploration of various data mining techniques and machine learning models to extract meaningful insights from their data.

Language: HTML - Size: 73.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

nehaask/Spotify-Music-Data-Analysis

Analyzed Spotify’s 12M-song dataset using SQL and NoSQL modeling, normalization, indexing, and the Apriori algorithm for pattern mining.

Language: Python - Size: 14.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

pmadruga/ml_project

Machine Learning Techniques applied to Heart Rate Variability

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 2

shubhamgoyal575/Machine-Learning-Case-studies

This repository contains machine learning projects covering various real-world applications. It includes data preprocessing, feature engineering, model training, and evaluation using algorithms like regression, classification, and deep learning. Built with Python, Scikit-Learn, TensorFlow, and Pandas. 🚀

Language: Jupyter Notebook - Size: 2.78 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

FiryanulRizky/Ubud-Souvenir-Center-v1.0

Undergraduate Thesis Project (Mobile Apps Management Sales & E-Marketplace using Apriori Algorithm) Dedicated to Ubud Art Market

Language: PHP - Size: 12.5 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Mehnaz2004/Product-Recommendation-System

The Product Recommendation System uses the Apriori Algorithm to suggest frequently bought-together products based on transaction data. It features a Streamlit UI where users can add items to their cart and receive real-time recommendations.

Language: Jupyter Notebook - Size: 219 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Elysian01/Fruit-Seller-Chatbot-with-Recommendation-System

Fruits/Vegetable Seller Bot With Recommendation System Integrated (Using Apriori Algorithm) And MySql Database to record all the transactions and products/stock details.

Language: Jupyter Notebook - Size: 47.4 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 2

Jinkogule/Multi-Analyst

Multi Analyst is a data analysis tool with a simple and accessible interface that utilizes artificial intelligence to interpret data analysis results, providing valuable insights to users.

Language: Python - Size: 179 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

mminh6823/Apriori_check

🚀 Winform Apriori_check 🔍 Tìm tập phổ biến bằng thuật toán Apriori! 📌 Tính năng: ✅ Khai thác tập phổ biến từ dữ liệu giao dịch 📂 Hỗ trợ file .svm ⚡ Tối ưu với pruning ⚙️ Tùy chỉnh min-sup linh hoạt 🎯 Dễ dùng → Nạp dữ liệu ➝ Chạy Apriori ➝ Nhận kết quả!

Language: C# - Size: 40 KB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

rajeshsharma98/Personalized_Fashion_Recommendation

Based on information from historical transactions, as well as from customer and product meta data, tried to offer customers with personalized fashion recommendations tailored specifically to their preferences.

Language: Jupyter Notebook - Size: 5.61 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

praShaanT11/Data-Mining-Lab-Assigments

Assignments Submitted for the Data Mining Lab at South Asian University

Language: Jupyter Notebook - Size: 292 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

rohit180497/Coffee-Shop-AI-Agents

This project is an innovative coffee shop application designed to bring an engaging and personalized experience to coffee lovers. The app leverages AI-powered agents for chat-based interactions and integrates modern web and mobile development techniques to provide seamless ordering and delivery services.

Language: Jupyter Notebook - Size: 86.7 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

eduardosantoshf/most-frequent-itemsets 📦

MDLE First Assignment - The objective of this project was to implement the A-Priori algorithm to obtain the most frequent itemsets for a list of conditions for a large set of patients, obtaining then associations between conditions by extracting some rules, and also to implement and apply LSH to identify similar news articles from a dataset.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Urvee1810/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: 619 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Amazenmb/BigBasket-Cart-Recommendation-using-Apriori-Algorithm

This is an implementation of recommendation for cart item based on Association Rule Learning of past purchases of different users.

Language: Jupyter Notebook - Size: 103 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MilanKalkenings/small_data_analytics_projects

practicing some basic pandas, pyplot and plotly routines

Language: Jupyter Notebook - Size: 6.37 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

alexgracianoarj/data-mining-apriori

Perl extension for implement the apriori algorithm of data mining.

Language: Perl - Size: 57.6 KB - Last synced at: 28 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

andi611/Apriori-and-Eclat-Frequent-Itemset-Mining

Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.

Language: Python - Size: 4.05 MB - Last synced at: 7 months ago - Pushed at: almost 7 years ago - Stars: 48 - Forks: 19

sidmishraw/scp

A data processing pipeline for text-mining on contents extracted from PDFs using Apriori and Simplicial Complex algorithms

Language: C++ - Size: 268 MB - Last synced at: 8 months ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 2

SnehaDharne/VAERS-SymptomExtractionwithAI

VAERS Adverse Event Analysis for COVID 19 Vaccine : A hybrid approach combining LLMs (Gemini 1.5 Flash) and statistical methods for enhanced vaccine safety signal detection. Analyzes temporal and associative relationships in VAERS symptom data.

Language: Jupyter Notebook - Size: 34.2 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

sanjurajveer/Market_Basket_Analysis

Finding pattern of bought objects through market basket analysis

Language: Python - Size: 363 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Jovinka-Aphellia-Salva/Data-Mining-Project

This project is a data mining project that applies the K-Means and Apriori algorithms to a Customer and Supermarket Sales dataset.

Language: Jupyter Notebook - Size: 7.96 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

R-Mahesh45/Association-Rule-Mining-Using-Apriori-Algorithm

This project applies the Apriori algorithm to generate association rules from transaction datasets. It explores the impact of varying support, confidence, and minimum length parameters on rule generation. Results are visualized using scatterplots, heatmaps, and bar charts for better insights.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

fauzan1892/Apriori

A python code running with jupyter notebook or google colabs, implementing the Data Mining Associating rule with Apriori algorithm.

Language: Jupyter Notebook - Size: 23.4 KB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 0

hannahgsimon/AprioriAlgorithm

Developed code for Apriori's Algorithm, an association rule data mining technique to identify underlying relations between different items

Language: Python - Size: 47.9 KB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

CCharlieLi/frequent-itemset

Use Apriori algorithm to calculate frequent itemset from a list of arrarys

Language: JavaScript - Size: 7.81 KB - Last synced at: 29 days ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 0

victoria-carvalho-02/Association-Rules-for-Market-Basket-Analysis

Exploratory Data Analysis on Bakery Transactions - Use of the Apriori algorithm for frequent itemset mining, and then use the results of the Apriori algorithm to generate association rules to find interesting relationships in our data.

Language: Jupyter Notebook - Size: 203 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

javaidiqbal11/depression-detection-using-data-mining-association

This reo for the depression detection in tweets dataset using Data Mining Association rules and Machine Learning.

Language: Jupyter Notebook - Size: 720 KB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

GeorgiiVoyakin/mirea-big-data

Python Big Data programming tasks for institute

Language: Jupyter Notebook - Size: 9.53 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

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: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kalu-joy/market-basket-analysis-in-python

Market basket analysis is a data mining technique that helps retailers and other businesses understand the purchasing patterns of their customers.

Language: Jupyter Notebook - Size: 524 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Sriram-infohub/Market-Basket-Analysis-and-Recommendation-System

Recommendation system using ML

Language: Jupyter Notebook - Size: 381 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

cudavailable/Association-rule-mining

A simple implementation of Apriori algotithem and mining strong association rules on supermarket shopping dataset

Language: Python - Size: 394 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jcsaputra/E-Commerce-Purchase-Pattern-Analysis-Using-the-Apriori-Algorithm-Machine-Learning

Analyzed purchasing patterns within e-commerce data using the Apriori algorithm to identify frequently bought item sets and uncover insights into consumer behavior.

Language: Jupyter Notebook - Size: 767 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aniass/Market-basket-analysis

Market Basket Analysis by using Apriori algorithm and Association rules

Language: Jupyter Notebook - Size: 469 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

swag-code/Performance-Analysis-of-Apriori-Algorithm-Using-MongoDB

Size: 812 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ruban2205/Machine_learning_fundamentals

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0

Dentrax/Data-Mining-Algorithms

Data Mining Algorithms with C# using LINQ

Language: C# - Size: 91.8 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 42 - Forks: 20

kkrusere/Market-Basket-Analysis-on-the-Online-Retail-Data

The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

harshavardh8n/Machine-Learning-Projects

Machine Learning Projects: A collection of machine learning projects developed as part of the curriculum, utilizing libraries such as NumPy, Pandas, Seaborn, and Matplotlib. These projects demonstrate various algorithms, including Apriori and Decision Trees, showcasing practical applications and data analysis techniques.

Language: Jupyter Notebook - Size: 7.03 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

flury/DataMiningApriori

Data mining Associate Rule using Apriori Algorithm Implementation in Java Spring Framework

Language: Java - Size: 706 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Nishadleo94/Thesis

Developing a Recommender System for Customers in a Scan and Go store using Apriori Algorithm in Market Basket Analysis

Language: R - Size: 30.4 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 3

aristotle-malichetty/customer-segmentation-product-recommendation-engine

Customer Segmentation and Product Recommendation for ACME Innovations - School Project

Language: R - Size: 15.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year 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 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nselvar/APRIOR-BlackFridayExamined

BlackFriday Examined

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krishcy25/MarketBasketAnalysis-AssociationMining

This repository focuses on building Association rules (Market Basket Analysis) using Support, Confidence, Lift that gives insights on which products go together in the cart of customer's shopping

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Saeedanbarimoghadam/Customer-Segmentation-and-Behavior-Analysis

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evelinesurbakti/Optimizing-Retail-Strategy-based-on-the-Pattern-of-Products-in-Groceries-Transactions

What kind of relationship of product that we have in the UK and Ireland wholesalers? How can that information be used to help business decisions making? You can find the answers in this repo.

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Likhitha310/Clustering

Market Basket Analysis,Customer segmentation

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thisisjackboi/Algomine

educational based website for understanding basic data minig algorithims

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sayande01/Unsupervised_Learning_ML

This project merges unsupervised learning with Association Rule Learning to analyze retail market basket data. By applying K-Means, DBSCAN, Apriori, Eclat, and FP-Growth algorithms, it uncovers purchasing patterns and segments customers into clusters, aiming to optimize product placement, promotions, and product development.

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