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ai_cooperation

AI Cooperation

coursera-data-science-capstone

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid19-simulations

Some network simulations for the Coronavirus

datasciencecoursera

Basic Repository

datasharing

The Leek group guide to data sharing

developing-data-products

This is my github repository for the final assignment for the Developing Data Products Coursera Course

getting-and-cleaning-data-exercise

liwc-python

Linguistic Inquiry and Word Count (LIWC) analyzer

netlogo-models

A series of Netlogo models to study different phenomena. Just download the files, open them with Netlogo, and read the description for details. The most self explanatory is Segregation and Difussion.

plotting-in-r-exercise

Plotting Assignment 1 for Exploratory Data Analysis

practical-machine-learning-exercise

In this project, I use data collected from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. The goal of the project is to predict the manner in which they did the exercise. This is the "classe" variable in the training set. This is the final project for the Practical Machine Learning Course in the Data Analysis Specialization offered by Johns Hopkins University via Coursera.

regression-model

This is an exercise in multivariate regression models. Using the R data set "mtcars" I explore in exploring the relationship between a set of variables and miles per gallon (MPG). This is the final project for the Regression Models Course in the Data Analysis Specialization offered by Johns Hopkins University via Coursera.

reproducible-research-course-projects

Peer Assessment 1 for Reproducible Research

rledsocialnorms

This is a repository where we store our work connecting Reinforcement Learning, Evolutionary Dynamics, and Social Norms.

simple-knn-gzip

A simplistic linear and multiprocessed approach to sentiment analysis using Gzip Normalized Compression Distances with k nearest neighbors

statistical-inference

In this project you will investigate the exponential distribution in R and compare it with the Central Limit Theorem. The exponential distribution can be simulated in R with rexp(n, lambda) where lambda is the rate parameter. This is the final project for the Statistical Inference Course in the Data Analysis Specialization offered by Johns Hopkins University via Coursera.

stock-data-mining

This was one of my initial projects, so the code is not very elegant. The main purpose is to download the time series of all of the NYSE stocks and have them in a relatively clean state.

structure_of_economics

twitter-covid-vaccine