The Monty Hall Problem is a famous puzzle / paradox. Let's examine how it works with some quick simulations.

By creating a series of 75 regression models and visualizing them, we will develop a more intuitive understanding of regression model metrics.

This document is just going to visualize a few historical inverted yield curves and animate them so that we can visually see how the yield curve changes in the time period around its’ inversion. This analysis will strictly focus on US treasury yield rates.

Why do we use statistical tests and methods that assume our data is normally distributed? The Central Limit Theorem helps explain why

Do diversified portfolios out-perform the S&P 500 over time? Let's dig into some simple examples and find out.

Driving distance has increased significantly on the PGA tour over the last 3 decades. Is this just an increase across the board or do the longest hitters on the tour have a bigger advantage than they used to?

A simple exploration of stock market peaks and troughs with a comparison of the current market to historic market troughs

This notebook will explore simple examples of how K-Means and DBScan clustering algorithms work in R.

Not just another Covid notebook but a look at annual mortality by country normalized to Pre-Covid levels

Could this be the secret formula to winning your NFL survivor pool? Probably not but it is a good case to demonstrate the power of probabilistic optimization models.

A continuously updated look at inflation as measured by CPI and PPI over various time periods

Can bias in news reporting be measured with basic text analytics? We are going to explore daily news feeds and see if we can detect variances in how various news sources report or don’t report stories.

This document will focus on the basic relationship between the federal minimum wage and inflation as measured by the Consumer Price Index or CPI. Specifically, does an increase in the minimum wage cause inflation?

An new way to evaluate 3 point shooting effectiveness using metrics from the PGA Tour and the world of financial analytics.

There is often useful data that is only available via a text or PDF report. This tutorial should give you the basics so that you can build a data extraction pipeline for your own purpose.

Machine learning can unlock hidden signals in your data that human eyes and intuition can't always find. Use it to leverage the full power of your organization's data to solve business problems

A Monte Carlo Simulation of Historical S&P500 Returns

A study in math, maps and national parks