Ruta.S.'s Projects
This repository contains the code produced in relation to the portfolio exams of Advanced Cognitive Neuroscience
This assignment is class assignment 3 for the language analytics class at Aarhus University, 2021
This assignment is class assignment 4 for the language analytics class at Aarhus University, 2021.
This assignment is class assignment 5 for the language analytics class at Aarhus University, 2021.
This assignment is class assignment 6 for the language analytics class at Aarhus University, 2021.
This is self-assigned project for the language analytics class at Aarhus University, 2021.
This assignment is class assignment 3 for the visual analytics class at Aarhus University, 2021.
This assignment is class assignment 4 for the visual analytics class at Aarhus University, 2021.
This assignment is class assignment 5 for the visual analytics class at Aarhus University, 2021.
Self-assigned project for visual analytics class at Aarhus University, 2021
Agent based model of the role of social support in the development of Major Depressive Disorder
Portfolio assignments using Bayesian modeling within cognitive science field. 2020 spring semester at Aarhus University
A digital project for Cultural Data Science class 2020 by Ruta Slivkaite and Jakub Raszka as part of Cognitive science bachelor´s degree program at Aarhus University.
Portfolio assignments mainly focused on how the general linear model (GLM) can be used for the analysis of brain scan data. 2019 spring semester at Aarhus University
Portfolio assignments in data cleaning, analysis and diagnostic science field employing multilevel and logistic regression models. 2019 fall semester at Aarhus University
Primary repository for the NLP course as part of the CogSci masters program at Aarhus University.
Natutal Language Processing at Aarhus University, Exam Project´s practical product
Repository for exam project of Spatial analytics course 2021 at Aarhus University. Project name: 'Happiness and green urban spaces: how green is happiness?' The project was done by Ruta Slivkaite and Bianka Szöllősi.