Machine Learning Predictor for NBA games that takes into account player stats, team stats.
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Updated
May 3, 2018 - Python
Machine Learning Predictor for NBA games that takes into account player stats, team stats.
Basket Analysis
NBA Shots visualization
A pipeline for market basket analysis aimed at identifying product associations to optimize retail promotions and bundle deals using SQLite, mlxtend & D3.js
🚄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
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
Package for automating clustering (pipeline).
Personal project in which I analyse the data of an E-Commerce business.
Define/record plays for Basket-Ball
Undergraduate Project - Association Rule (Basket) Analysis on 'Groceries' Data
This repository contains my code for a basket analysis study.
Applied association rule mining to retail transactions to discover frequently co-purchased items and uncover cross-selling opportunities.
Machine Learning examples using basket analysis algorithm
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.
Built a Gradient Boosting decision tree (LightGBM) Model to predict the customers next cart item using the customer’s previous purchase history.
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.
The goal is finding the relationship between web pages using Association Pathern Mining
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