Pinned Repositories
Prepare
Prepare is an R package specifically designed to address the unique challenges of cleaning and preparing data from various public datasets. It transforms what previously required dozens of lines of code into a single command.
Olsons-Bandits-ABM
"Dynamics of Olson's Model: An ABM Exploration" is an Agent-Based Model (ABM) simulation implemented in NetLogo. It's designed to simulate Mancur Olson's Roaming vs. Stationary Bandits Theory. The simulation aims to explore the dynamics of the model and see if they align with Olson's theoretical outcomes.
US_Congress_Tweet_NLP_Dataset
This dataset analyzes tweets from US Congress members between June 2017 and July 2023, using natural language processing (NLP) techniques to detect patterns, sentiments, and key topics. This reveals quantifiable shifts in legislative communication, shedding light on evolving political priorities and the ways in which they are expressed.
US_Congress_Tweets_NLP_Analysis
Welcome to US Congress Tweets NLP Analysis, where the intricate world of political discourse meets the precision of Natural Language Processing (NLP). Our project is an adventurous foray into the Twitter activities of US politicians, employing NLP to decode and analyze their digital communications.
Chasen-Jeffries.github.io
This website is a canvas for my ideas, a portfolio of my work, and a way to connect with like-minded individuals. It's always a work in progress, as I believe in continuous learning and improvement.
Predicting-Irregular-Government-Change
This project aims to forecast the impact of political instability in countries worldwide. Utilizing a dataset spanning 20 years and encompassing 30 variables primarily from the World Bank, the project will employ various machine learning models to assess the risk of such events.
-ist-303-team-A
Git and Github Exercise: 5/22/2023
303-summer-23
Chasen-Jeffries
Collab_App
Collab - Collaborative Laboratory App
Chasen-Jeffries's Repositories
Chasen-Jeffries/Chasen-Jeffries.github.io
This website is a canvas for my ideas, a portfolio of my work, and a way to connect with like-minded individuals. It's always a work in progress, as I believe in continuous learning and improvement.
Chasen-Jeffries/Electoral-Systems-Outcomes
The Election Systems Agent-Based Model (ABM) explores the impact of electoral systems on democratic representation. By simulating voter behavior and election outcomes, it highlights the importance of electoral design. This tool aids in informed discussions on electoral reforms and democracy's mechanics.
Chasen-Jeffries/Prepare
Prepare is an R package specifically designed to address the unique challenges of cleaning and preparing data from various public datasets. It transforms what previously required dozens of lines of code into a single command.
Chasen-Jeffries/Chasen-Jeffries
Chasen-Jeffries/Olsons-Bandits-ABM
"Dynamics of Olson's Model: An ABM Exploration" is an Agent-Based Model (ABM) simulation implemented in NetLogo. It's designed to simulate Mancur Olson's Roaming vs. Stationary Bandits Theory. The simulation aims to explore the dynamics of the model and see if they align with Olson's theoretical outcomes.
Chasen-Jeffries/US_Congress_Tweet_NLP_Dataset
This dataset analyzes tweets from US Congress members between June 2017 and July 2023, using natural language processing (NLP) techniques to detect patterns, sentiments, and key topics. This reveals quantifiable shifts in legislative communication, shedding light on evolving political priorities and the ways in which they are expressed.
Chasen-Jeffries/Predicting-Irregular-Government-Change
This project aims to forecast the impact of political instability in countries worldwide. Utilizing a dataset spanning 20 years and encompassing 30 variables primarily from the World Bank, the project will employ various machine learning models to assess the risk of such events.
Chasen-Jeffries/Constitutions_NLP
NLP project analyzing the natural language of national constitutions.
Chasen-Jeffries/US_Congress_Tweets_NLP_Analysis
Welcome to US Congress Tweets NLP Analysis, where the intricate world of political discourse meets the precision of Natural Language Processing (NLP). Our project is an adventurous foray into the Twitter activities of US politicians, employing NLP to decode and analyze their digital communications.
Chasen-Jeffries/Collab_App
Collab - Collaborative Laboratory App
Chasen-Jeffries/303-summer-23
Chasen-Jeffries/congresstweets
Datasets of the daily Twitter output of Congress.
Chasen-Jeffries/Website_Template
Chasen-Jeffries/-ist-303-team-A
Git and Github Exercise: 5/22/2023