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This repository contains code used to create Paper "Navigating Complexity: Evaluating the Effectiveness of Dimension Reduction and Clustering Approaches on Challenging Datasets" as a Bachelor's thesis for EUR.
This Project is aimed at implementing Collaborative Filtering to learn user's missing preference and further predicting their missing ratings for the movies
The goal of this R Function is to compress arbitrary images using numerical principal component analysis techniques to obtain the most visually appealing compressed image.
Generated analysis of cryptocurrencies is available on the trading market and how they can be grouped using classification. To do this I used unsupervised learning and Amazon SageMaker by clustering cryptocurrencies and creating plots to present results.