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.
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.
Undergraduate Project - Association Rule (Basket) Analysis on 'Groceries' Data
A personal finance tool that ingests Portuguese supermarket receipts (PDF), parses every line item with an LLM, stores vectors in PostgreSQL, and lets you explore your spending through an analytics dashboard and a RAG chat interface
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.
Machine Learning examples using basket analysis algorithm
Define/record plays for Basket-Ball
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.
A Tableau dashboard project built from an analysis-ready SQL dataset to explore Indonesia e-commerce sales. Includes interactive visualizations, calculated fields, parameters, dashboard actions, and the complete build process from worksheet to dashboard.
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
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