Nearly every data scientist or sports analyst has learned a painful first-hand lesson about data leakage. Let me paint a picture. You come up with…
Development of a page rank sports ranking system is not a new idea. In fact, it gets to the heart of a central question in…
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…
Python has become the tool of choice for nearly every budding data scientist. Sklearn, including the Sklearn logistic regression module, is one of the most…
In this edition of Teaching Math with Sports, we look at applications of permutations and combinations in sports. Permutations and combinations are two of the…
View post to subscribe to site newsletter.
In this edition of Teaching Math with Sports, we look at applications of the exponential distribution in sports. The exponential distribution is very closely related…
View post to subscribe to site newsletter.
In this edition of Teaching Math With Sports we look at hypothesis tests. In particular, we explore a few examples of hypothesis testing for means…
View post to subscribe to site newsletter.
In this edition of Teaching Math with Sports, we look at applications of critical points and Fermat’s Theorem in sports. Throughout a Calculus course, most…
View post to subscribe to site newsletter.
In this edition of Teaching Math with Sports, we look at the Poisson distribution in sports. The Poisson distribution is a fundamental distribution in statistics…
View post to subscribe to site newsletter.
In this edition of Teaching Math with Sports, we look at the binomial distribution. The binomial distribution is one of the simplest yet most ubiquitous…
View post to subscribe to site newsletter.