A quantitative analysis of 45 S&P 500 market leaders across 9 major sectors. This project utilizes K-Means Clustering (Unsupervised Machine Learning) to identify risk/return regimes automatically. It features a Facet-Wrapped visualization to demonstrate how volatility profiles differ significantly between Defensive sectors (Utilities, Staples) and Growth sectors (Technology). Built using R, ggplot2, and quantmod.

Curso de Estadistica Inferencial para jóvenes investigadores y amantes de Estadistica, la Ciencia de datos y la Inteligencia Artificial

Stroke, Yoga and Meditation

Estimating CDF and PDF

Code and explanation for the third lab of Data Analysis for Biologists AESC40180