AtharvKadammm/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: 6 days ago - Pushed at: 6 days 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: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

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: 18 days ago - Pushed at: 19 days ago - Stars: 2 - Forks: 1

nurulashraf/apriori-market-basket-analysis

Analyse shopping patterns using the Apriori algorithm to uncover frequent itemsets and generate association rules from transactional data. A practical introduction to Market Basket Analysis using Python and machine learning techniques.

Language: Jupyter Notebook - Size: 465 KB - Last synced at: 17 days ago - Pushed at: 26 days 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: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

jahnvisikligar/Machine-Learning-and-Data-Science-projects

The repo focuses on my works in data science

Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

marshudi/WorldUniversityRankings

This project focuses on analyzing the World University Rankings dataset, sourced from Kaggle.

Language: Jupyter Notebook - Size: 604 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

MoSalem149/data-mining-assignments

That repo for data mining quizzes and tasks.

Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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

Size: 812 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

ushariRanasinghe/Market-Basket-Analysis-for-Bakery

Market Basket Analysis for Bakery using apriori rule mining

Language: Jupyter Notebook - Size: 867 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

SamKazan/fraud-detection-ml

Machine learning models for enhanced fraud detection in e-commerce transactions, exploring feature engineering, distance prediction, and clustering analysis.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

ledsouza/machine-learning-client-satisfaction

Este projeto tem como objetivo construir um modelo de Machine Learning capaz de prever a satisfação de clientes de uma companhia aérea.

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Wilfrida-Were/Market-Basket-Analysis

Market Basket Analysis

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hadiprasetiyo/apriori-mining-algorithm

Language: Jupyter Notebook - Size: 107 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kwanit1142/Machine-Learning-Models-on-different-scenarios

Pattern Recognition and Machine Learning based Assignments and Labs, under Prof. Richa Singh in Course CSL2050.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

PratikBharadwaj/Efficient-Market-Basket-Analysis-using-Hive-and-the-Apriori-algorithm

Here we are performing real time market basket analysis using hive for dynamic updating data

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

danieljosephraj/Suven-Coding-Internship

Online Coding Internship By Suven Consultants & Technology. During this Internship, I have worked on projects related to Data Analytics, Machine Learning, NLP and Association Rule - Mining.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Smit1400/SmartCart_MBA

"SmartCart" is a cutting-edge e-commerce tool 🌟 that leverages predictive analytics to provide personalized shopping recommendations and optimize inventory management, tailored for businesses aiming to enhance customer engagement and sales 🚀.

Language: Jupyter Notebook - Size: 22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

CelineBoutinon/bookworms

OpenClassrooms Data Analyst 2022-2023 - Projet 6

Language: Python - Size: 22.6 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tylerdsilva/Layoffs-Decoded

Demystifying ~400K layoffs to analyze underlying causes and predict future trends

Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

domingosdeeulariadumba/marketbasketanalysis

This is a supermarket basket analysis using FPGrowth.

Language: Python - Size: 784 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vaitybharati/P32.-Unsupervised-ML---Association-Rules-Data-Mining-Titanic-

Unsupervised-ML---Association-Rules-Data-Mining-Titanic. Data Preprocessing: As the data is categorical format, we are using One Hot Encoding to convert into numerical format. Apriori Algorithm: frequent item sets & association rules. A leverage value of 0 indicates independence. Range will be [-1 1]. A high conviction value means that the consequent is highly depending on the antecedent and range [0 inf]. Lift Ratio > 1 is a good influential rule in selecting the associated transactions.

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

vaitybharati/Assignment-09-Association-Rules-Data-Mining-my_movies-

Assignment-09-Association-Rules-Data-Mining-my_movies. Apriori Algorithm. Association rules with 10% Support and 70% confidence. Association rules with 5% Support and 90% confidence. Lift Ratio > 1 is a good influential rule in selecting the associated transactions. Visualization of obtained rule.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

vaitybharati/Assignment-09-Association-Rules-Data-Mining-Books-

Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

pranshu1921/Personalised-Cancer-Diagnosis

Predict the effect of genetic mutations in cancer tumors and classify them based on text clinical literature.

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

KhaledTofailieh/Dish-Recommender

In This Notebook I've built an Association rules Recommendation system, that make relations between itemsets and recommend the items that related to what user purchased.

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ozgekaracam/Association-Rule-Mining

Implementation of Apriori algorithm in Python

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Sarvandani/Machine_learning_Association-rule-learning_Market-Basket-Analysis

Mlxtend, Association_rules, Apriori, FP Growth

Language: Python - Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

keerthy-analyst/Netflix_Exploratory_Data_Visualisation

The Netflix Dataset's exploratory data analysis is housed in this repository.

Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

myreli/hello-pca-mlp 📦

Messing around with Databases Dimensionality Reduction and classification using Multi Layers Perceptron. (simple academic research)

Language: Python - Size: 943 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

shsarv/Cardio-Monitor

Cardio Monitor is a web app that helps you to find out whether you are at risk of developing heart disease. the model used for prediction has an accuracy of 92%. This is the course project of subject Big Data Analytics (BCSE0158).

Language: Jupyter Notebook - Size: 7.66 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

FirstGalacticEmpire/association_rules_for_subreddits

Subreddit recomendation system based on association rules harvested using data mining algorithms.

Language: Jupyter Notebook - Size: 35.3 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AnvarShagvaleev/AnalysisOfWebLogs

Предоставлен файл с сервера. Вам нужно спарсить его содержимое, создать базу данных под данные, вставить данные в базу данных, удаленно подключиться к базе данных и проанализировать данные.

Language: Jupyter Notebook - Size: 147 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Dar-rius/Analyse_corona

un algorithme qui predit si une personne X a le corona

Language: Jupyter Notebook - Size: 764 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

apoorv19151/Movie-Recommendation-System

Generated movie recommendations using association rule mining.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0