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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.
The data at hand is of flight satisfaction survey along with the customer flight information, the task at hand is to build a model that predicts satisfaction/dissatisfaction given the various attributes
Comparing the use of original data vs PCA in multiple regression. Analysis also showcases how principal components can be transformed back to their original vector space after model fitting for descriptive purposes
DESeq2Shiny2 is an R shiny application to handle NGS count data and perform unsupervised clustering and Differential Gene Expression Analysis using DESeq2.
R-based project to analyze lyrics entropy by genre and decade. A hand-engineered feature "words-per-unique-word" is introduced and deeply studied. Spotify and Genius APIs are used