Every year, one of the main topics surrounding the baseball off-season is Hall of Fame voting. There are nearly 400 Baseball Writers Association of America (BBWAA) voters who cast a ballot every year. If a player receives at least 75% of the vote, they are elected to the Hall of Fame. Over 15,000 players haveContinue reading “Predicting Baseball Hall of Fame Admittance Using Machine Learning”
Predicting college basketball win loss records using best subset selection for linear regression in R
One of my priorities this semester was to become more proficient in R. I have been practicing through a data analytics course, as well as doing projects on my own time. In class last week we learned about model selection. That is, when we have many input variables, how do we know which ones toContinue reading “Predicting college basketball win loss records using best subset selection for linear regression in R”
Last week in one of my analytics courses we focused on linear programming and using Excel’s solver tool for optimization. We discussed many practical scenarios for optimization, such as production and finance. In optimization we look to create the best possible outcome given a set of constraints. For example, in order to maximize profit forContinue reading “Creating the optimal NBA roster using solver”
Get new content delivered directly to your inbox.