Rafal Prus's repositories
Advanced-Cognitive-Neuroscience-MEG-fMRI-Analysis
Repository for the "Advanced Cognitive Neuroscience" course at Aarhus University, featuring analysis of MEG and fMRI data from thought-reading experiments at Aarhus Skejby Hospital, Denmark. This project delves into the potentials of neuroimaging in cognitive science research.
AU-Data-Science-24
My exercise-focused version of the primary repository for the course: Data Science, Prediction, and Forecasting, taught as part of the CogSci masters program at Aarhus University.
Click-Through-Rate-Prediction-Model
This repository is for a Decision Making Aarhus University Course assignment, focusing on using Multi-Armed Bandit algorithms, specifically the epsilon-greedy algorithm, for optimizing click-through rates in digital advertising by balancing the exploration of new ads and the exploitation of successful ones.
NLP-Sentiment-Analysis-of-Opinions-in-Israeli-Palestinian-Conflict
This project, part of a Natural Language Processing course at Aarhus University, employs Python and NLP tools to analyze Reddit data over two months, revealing shifts in public opinion on the Israeli-Palestinian conflict and correlating these changes with key events.
Advanced-Cognitive-Modelling-Portfolio
Advanced Cognitive Modeling Portfolio: A series of assignments from Aarhus University's Cognitive Science course, focusing on modeling strategies for the Matching Pennies Game using Stan. This repository includes theoretical analyses and practical model validations.
MEG_ACNP2
This repository hosts the portfolio 3 assignment for the Advanced Cognitive Neuroscience (F23) course at Aarhus University's Cognitive Science MSc program. It features code for preprocessing, analyzing, and visualizing raw MEG data collected at Aarhus University Hospital's neuroimaging facilities, focusing on MEG Acquisition - Analysis & Report.
Three-Fund-Investment-Portfolio-Tracker-Denmark
A comprehensive Python-based tool for tracking and analyzing long-term investment portfolios. Features include real-time tracking, performance analysis, risk assessment, and forecasting. Special focus on Danish tax implications for smarter investment decisions. Perfect for investors looking to maximize returns while navigating Danish tax landscape.
Data-Science-Prediction-and-Forecasting-Project
This repository contains code for the final project for the course "Data Science, Prediction, and Forecasting" at Aarhus University in Denmark, a course at a degree in MSc of Cognitive Science.
prusrafal
Public profile repository.