Recently Published
S&P 500 Cluster Analysis
An unsupervised machine learning analysis of stock market data. This project uses K-Means clustering to automatically categorize assets into four distinct risk/reward regimes based on historical volatility and annualized returns. Built using R, quantmod and ggplot2.
Week 3 Practice -- Answer Key
SOC3320
In-Class Activity 9
Wine Quality Dataset
Regression Methods
Activity 7&8
In-Class Activity 8
Insurance Dataset with Answers to Questions A & B