Udacity - Machine Learning - Project 3 (Unsupervised Learning) - Creating Customer Segments - Submit Files Only - Passed Wed 29 Nov 2017

Simulation of K-means Clustering algorithm using P5.JS

Daniel Heffley's List of Projects

Machine Learning Nano-degree Project : To identify customer segments hidden in product spending data collected for customers of a wholesale distributor

An autoencoder project for B-KUL-YI1328 (practica Speech Processing and Compression)

Unsupervised machine learning algorithm from scratch part of DS-5230 Unsupervised Machine Learning course

Python implementation of the unsupervised Deep Learning Algorithm SOM

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

An analysis using unsupervised Machine Learning algorithm to discover unknown patterns.

INTERSHIP AT THE SPARK FOUNDATION

The Sparks Foundation, Singapore (Internship)

Unsupervised Machine Learning- CyrptoCurrency Analysis - For this project I am performing unsupervised machine learning on cryptocurrency data in order to discover patterns and groups in data. The purpose of this analysis is to create a report that includes what cryptocurrencies are on the trading market and how they could be grouped in order to…

Unsupervised learning: prediction of anomalies using AutoEncoder, Isolation Forest and models that combine the two.

Brain Tumor Detection Using Color Segmentation With KMeans Clustering , given six classs of tumors and a contour is tumor if area>1000

This is a use-case of clustering the customers on the basis of various attributes using Unsupervised Machine Learning Techniques.

This is a Customer Segmentation model made in Python

Face Recognition Algorithm using Unsupervised and Semi-supervised techniques

Incorporated unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

This project is about creating a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for a new investment.

unsupervized method for custormer ecommerce segmentation