In many real life applications – stock markets, weather modeling, and sales forecasting to name a few – data has a natural sequential ordering that…
In machine learning and predictive statistics, the name of the game is maximizing prediction accuracy (true positives/negatives) while minimizing error (false positives/negatives). Both ROC Curves…
One of the most fundamental statistical concepts is the idea of statistical significance. Statisticians learn how to conduct hypothesis tests to determine whether or not…
If neural networks dominated the early 2010s, no algorithm dominates modern machine learning discussions like XGBoost. XGBoost is a wildly powerful variant on decision trees…
I’ve often found that the best way to convey information is through animations, not static images. In particular, knowing how to make a GIF in…
Golf is a very analytical game. There are constant discussions of club head speed, green speed, ball aerodynamics, and other things. The physics of golf…
As the 2023 baseball season is getting underway, one of the most talked about topics is the average length of a baseball game. Just exactly…
Linear regression is the first, easiest, and most versatile tool that statisticians and data scientists will learn. The Sklearn linear regression python class provides the…
OPS in baseball is arguably the first “advanced stat” that sports fans come across. While traditional stats like batting average and ERA count how many…
The next week contains 4 of the 6 best sports days of the year, the first 2 rounds of the NCAA tournament (the other 2…