Udacity Nanodegree Project 3: Example of unsupervised learning. Creating customer segments.

Content for Udacity's Machine Learning curriculum

An unsupervised machine learning project

Generate customer segments using unsupervised clustering algorithms

Applying unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data

Udacity - Machine Learning Engineer Nanodegree Project - Clustering customers into various segments

Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

This repository contains the project files and submissions for Project 3 - Creating Customer Segements as part of Udacity's Machine Learning Nanodegree.

Udacity Machine Learning Nanodegree Project3

Identify customers by clustering them

Project 3 for Udacity Machine Learning Nanodegree

Unsupervised Learning

In this project I have used unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories using a real-world dataset

Unsupervised Learning/Clustering for Age Prediction through user's Facebook Network Graph

Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning

Unsupervised Learning ML project

In this project I use unsupervised learning techniques to identify different segments of costumers with different preferences for optimizing product delivery.

Unsupervised learning project to find customer segments based on spending on different product categories.

apply PCA and clustering to a dataset