Richard Correro's repositories
clustering-capital-markets
We study capital as it flows through the American equity markets. Using daily returns and volume data we develop a method to identify regimes in the markets over time, regimes which characterize much of the markets' behavior. By segmenting the data we analyze the causes of market behavior associated with a given regime.
light-pipe
A high-level syntax for data pipelines, designed to make pipeline development quick and painless.
brumaire
Allows for on-line data gathering, creation, and broadcasting.
castle
A minimal framework for an application built using FastAPI and Celery, and deployed using Traefik, Uvicorn, Redis, and RabbitMQ.
enet-house-prices
We use elastic net for feature selection and regularization of a regression model. This model predicts the price of a house based on various predictors.
heart_rate_experiment
An experiment to determine whether certain behavioral factors affect average heart rate during cardiovascular exercise. All experimentation was performed on and by the author, Richard Correro, in 2021.
on-line-weak-supervision
Code for "Weak Supervision with Incremental Source Accuracy Estimation"
rcorrero.github.io
Website for general information about me.