This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

UnsupervisedPapers.com is an open-source directory of papers on unsupervised machine learning and related topics with links to resources such as code, websites and videos.

This code repository is an attachment for the IGARSS 2023 proceeding paper: Paluba D. et al. (2023): "Unsupervised Burned Area Mapping in Greece: Investigating the impact of precipitation, pre- and post-processing of Sentinel-1 data in Google Earth Engine".

Automatiic Anomaly detetcion tool for CMS-PLT

AI Unsupervised Algorithm

Simulation of K-means Clustering algorithm using P5.JS

👾 Genetic unsupervised learning algorithm implemented in the game Tetris built with React JS

Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)

testing developing apps with docker for educational purposes

A Content-based movie recommendation system that recommends movies to a user by using the similarity of movies. This recommender system recommends movies based on their description or features. A useful application of machine learning in the Media/communication Industry