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followers: 45.0 following: 64.0 repos: 39.0 gists: 31.0

Name: Ilkay Isik

Type: User

Company: Max Planck Institute for Empirical Aesthetic

Bio: Learning and coding, mostly in Python, R

Location: Frankfurt am Main

Blog: https://ilkayisik.github.io

Hello, I am Ilkay 👋

Welcome to my Github Profile

I have a background in Psychology and Cognitive Neuroscience but I am currently in the process of transitioning to industry. ✨ This is a collection of my personal projects.

🔭 I have recently finished a full-time 15 week datascience bootcamp at the WBS - Coding School,
🌱 I’m gaining more experience in Python, Pandas, Machine Learning, SQL, A/B-testing, Data-Visualisation, and many other new things
📫 You can reach me via e-mail at [email protected] or https://www.linkedin.com/in/ilkay-isik/

Ilkay Isik's Projects

abtest-montana-library

Conduction of an A/B test for a library webpage by using a click through rate metric and Chi Square test

aest_dynamics_code

This repository contains the analysis scripts that are used in dynamics of aesthetic enjoyment project

bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

c-pac

Configurable Pipeline for the Analysis of Connectomes

create-spotify-playlists

create spotify playlists using unsupervised machine learning

fmriflows is a consortium of many (dependent) fMRI analysis pipelines, including anatomical and functional pre-processing, univariate 1st and 2nd-level analysis, as well as multivariate pattern analysis.

fmriprep

fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.