Unsupervised Machine Learning Repository

I. Repository Overview

• This repository contains different sub-repositories covering different Unsupervised Machine Learning techniques such as Association Rules, K-Means clustering on different datasets.
• Currently 2 folders are available in this repository:
  1. association_rules
  2. clustering_kmeans

II. Folder details

1. association_rules

   • Market Basket Analysis using Association Rules : This sub-repository covers Market Basket Analysis using Association Rules on grocery data :The Instacart Online Grocery Shopping Dataset 2017, to find patterns such as people who bought grocery item X tend to buy grocery item Y as well.
     

2. clustering_kmeans

   • This sub-repository covers customer-segmentation analysis using K-means on Credit Card Dataset for Clustering dataset taken from Kaggle website.