https://github.com/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.
https://github.com/ebadshabbir/apriori-algorithm
apriori-algorithm association-rule-learning jupyter-notebook machine-learning python
Last synced: 3 months ago
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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.
- Host: GitHub
- URL: https://github.com/ebadshabbir/apriori-algorithm
- Owner: EbadShabbir
- Created: 2024-12-10T10:09:43.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-10T10:10:13.000Z (10 months ago)
- Last Synced: 2025-04-04T23:41:44.218Z (6 months ago)
- Topics: apriori-algorithm, association-rule-learning, jupyter-notebook, machine-learning, python
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/code/ebadshabbir/apriori-algorithm?scriptVersionId=212279752
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Market Basket Analysis using Apriori Algorithm
This project implements a market basket analysis using the Apriori algorithm in Python. The goal is to find associations between items frequently purchased together.
## Installation
Before running the code, ensure you have the required libraries installed. You can install them using the following command:
```bash
pip install numpy pandas matplotlib apyori