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.
Performing Market Basket Analysis to identify frequently bought item sets from POS transaction data, enabling data-driven decisions for sales strategies and product placement.
NBA Shots visualization
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Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
A pipeline for market basket analysis aimed at identifying product associations to optimize retail promotions and bundle deals using SQLite, mlxtend & D3.js
Personal project in which I analyse the data of an E-Commerce business.
Package for automating clustering (pipeline).
Machine Learning examples using basket analysis algorithm
Define/record plays for Basket-Ball
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.
Applied association rule mining to retail transactions to discover frequently co-purchased items and uncover cross-selling opportunities.
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.
Undergraduate Project - Association Rule (Basket) Analysis on 'Groceries' Data
market basket analysis implemented in R based on data from retail shops.
The goal is finding the relationship between web pages using Association Pathern Mining
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
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.
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