Machine Learning Predictor for NBA games that takes into account player stats, team stats.

Basket Analysis

NBA Shots visualization

🚄东方快车，🚄一带一路。分析财务产品盈亏报告、购物篮分析 https://gitee.com/englianhu

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

Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.

Personal project in which I analyse the data of an E-Commerce business.

Package for automating clustering (pipeline).

Undergraduate Project - Association Rule (Basket) Analysis on 'Groceries' Data

Define/record plays for Basket-Ball

Machine Learning examples using basket analysis algorithm

Built a Gradient Boosting decision tree (LightGBM) Model to predict the customers next cart item using the customer’s previous purchase history.

This repository contains my code for a basket analysis study.

Data Mining and Machine learnining project to help prescribe the best lenses to a patient based on a variety of parameters, and classify mushrooms and edible or not. Also the extraction of data of an E-Commerce group.

market basket analysis implemented in R based on data from retail shops.

Applied association rule mining to retail transactions to discover frequently co-purchased items and uncover cross-selling opportunities.

A heavy and complete analysis for a distribution company that is selling plenty of products. This nice report contains various amazing analyses ranging from exploratory analysis, Basket and RFM analysis, and recommendations for the management to help them for decision making.

Practicum 100 project: analyze the store's product range and identify patterns that could be used in marketing strategy for boosting profit and customer satisfaction

Mirror of https://gitlab.com/DPDmancul/closed-unitigs

This project is an Association Rule Mining implementation combining the Apriori algorithm with MapReduce that was implemented in the Masters of Advanced Analytics at Nova IMS

The goal is finding the relationship between web pages using Association Pathern Mining

This Market Basket Analysis project in Python/R offers a versatile solution for uncovering purchasing patterns from transactional data. Utilizing powerful libraries like pandas, sqlalchemy, and mlxtend, it's ideal for businesses seeking to enhance marketing strategies and boost sales through data-driven insights.