An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with mlxtend

A curated list of projects in awesome lists tagged with mlxtend .

https://github.com/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

apriori-algorithm association-rule-learning association-rule-mining basket-analysis business-analytics business-intelligence d3 graph-visualization market-analysis mlxtend pandas python3 retail sqlite

Last synced: 21 Feb 2026

https://github.com/melogabriel/basket-analysis-apriori

This code 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.

apriori-algorithm jupyter-notebook lookerstudio market-basket-analysis mlxtend pandas python

Last synced: 30 Apr 2025

https://github.com/kwanit1142/machine-learning-models-on-different-scenarios

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

deep-learning diabetes iris machine-learning matplotlib mlxtend mnist nltk numpy pandas pytorch regex seaborn sklearn

Last synced: 12 Apr 2026

https://github.com/ushariranasinghe/market-basket-analysis-for-bakery

Market Basket Analysis for Bakery using apriori rule mining

mlxtend pandas

Last synced: 11 May 2026

https://github.com/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

apriori-algorithm data-mining data-visualization machine-learning market-basket-analysis matplotlib mlxtend numpy pandas python seaborn

Last synced: 12 Apr 2026

https://github.com/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.

apriori association-rules data-mining data-science market-basket-analysis mlxtend retail-analytics

Last synced: 12 Oct 2025

https://github.com/samkazan/fraud-detection-ml

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

clustering data-science data-visualization dataanalytics dbscan eda hierarchical-clustering kmeans-clustering knn-imputer matplotlib mlxtend python scikit-learn seaborn xgboost

Last synced: 08 May 2026

https://github.com/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.

cross-validation hyperparameter-optimization machine-learning machine-learning-algorithms mlxtend one-hot-encoding pandas python scikit-learn

Last synced: 10 Apr 2026

https://github.com/mikhailvokhrameev/market_basket_analysis

BMSTU University laboratory work devoted to searching for associative rules and identifying hidden structures in data

association-rules data-science hidden-data market-basket-analysis mlxtend networkx nmf tsne varclus

Last synced: 15 May 2026