I'm interested in developing an analytical technique that will remove the manual labor of looking at statistics. By removing that tedious task, it would be interesting to see how player's careers compare against other player careers. I'm hoping that in the end, I can use this as a significant factor in being able to predict whether a player will end up in the Hall of Fame.
More to come on this topic, but here's a little tease:
- Data sourced from Sean Lahman
- Techniques include:
- Dynamic Programming
- Social Network Analysis
- Logistic Regression
- Programmed entirely in R and RStudio
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