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bayesian-regression-unemployment

bsrmm

covid-19-dashboard

default-correlation

I apply Merton's Single Factor Copula to Lending Club data to analyze the default correlation.

economic-stress

This is a small side project I used to learn how to apply Neural Network to Time Series data. I developed a model that is able to score the economic stress level based on public macroeconomic data.

hierarchical-model-op-risk

house-hunting-dashboard

A dashboard project that assists housing market research and house hunting

kaggle_titanic

My Jupyter Notebook for Kaggle Titanic project. The methodology used in this model placed me at top 16% of all kagglers.

logistic-growth-covid19

omitted-variable

oprisk

This repository is a collection of functions that I developed for my own work related to operational risk analytics.

predict-case-shiller-home-price

This exercise uses Redfin data to predict overall housing market measure in Case-Shiller Home Price Indicator

predict-cy

predict_cy

This small machine learning project predicts Cy Young Award winners by stacking neural network, gradient boosted trees, random forest, and support vector machine

scrape-statcast

An R function to scrape Statcast data.