Simon Zuberek's Projects
My blog
The repository contains the "Broadway" project developed for the Codecademy Intensive Course "Build Websites from Scratch"
A Naive Bayes classifier to detect clickbait headlines
Final project developed for the Codecademy's Intensive Course on "Building Websites from Scratch". The course is no longer offered in that format. This static site is developed with Atom in standard HTML and CSS.
A project developed for Codecademy's Intensive web design from scratch course
A script extracting features of emotionally charged speech
This repository contains the "Excursion" project for Codecademy's web design course
A Rule-Based System to Explain Grammatical Gender Assignment in German Nouns
JavaScript diagramming library for interactive flowcharts, org charts, design tools, planning tools, visual languages.
Grammatical Similarities in the Dialogues between Star Wars Characters
A ML classifier to automatically distinguish between written output produced by heritage and non-heritage learners of Polish as a foreign language
A working tutorial on installing and running Jekyll on Apple's ARM architecture
A repo of various projects written in Java
This repository contains the "MyTimes" project developed for Codecademy.
Useful NLP scripts
A repository of various non-NLP related projects developed in Python
A replication of an experiment by Reali and Christiansen (2005) disputing the basic assumptions of Chomsky's Poverty of Stimulus theory.
Syntax tree generator made with Ruby
Project developed for Codecademy Intensive "Build Websites from Scratch". Utilizes HTML5, CSS3 + Flexbox, Media queries, and responsive design
A tool to assess semantic similarity between English words
A VR model of the Solar System developed in A-Frame
A project developed for the Codecademy Intensive Course "Build Websites from Scratch"
A project developed for a Codecademy Intensive "Build Websites from Scratch". It utilizes HTML5, CSS3 + Flexbox, and responsive design
Ukrainian-to-Polish name and surname transcriber
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
My personal website