Bundle Adjustment for Close-Range Photogrammetry

Michigan Covid-19 prediction

Project - Creating customer segments | Unsupervised learning | Python | PCA | Gaussian Mixture Model

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Use the credit card customer database to segement the groups by taking into account their spending patterns as well as past interactions with the bank

Unsupervised Learning: Mixture of Balls With Different Volumes.

The project explores KMeans and Gaussian Mixture Algorithms to classify the Boston Housing Dataset into different groups based on different parameters.

Processing scripts and datasets for a project on medial vowels in Kaytetye

Customer Segments - Machine Learning Nanodegree from Udacity

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

Final project Of machine learning Nanodegree (Unsupervised Learning)

An ML model which uses Gaussian Mixture Model clustering to classify customers.

Udacity Machine Learning Engineer Nanodegree Unsupervised Learning Project: Creating Customer Segments

Comparision of human voice samples

Unsupervised clustering of the UCI Wholesale Customer Spending Dataset

An elegant probability model for the joint distribution of wind speed and direction.

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

Unsupervised Learning ML project

PCA and Gaussian Mixture Model Clustering to uncover hidden segments in customer purchase data.