MACHINE LEARNING SERIES
Intro
I decided to dive into machine learning and do that in R. It’s a topic where I have little exposure, but have a lot to learn. After coming across the book Machine Learning with R, the tidyverse, and mlr, by Hefin Rhys I decided to buy it and make the leap. I’m not far into the book, but so far it’s been really easy to follow along and does a great job going over the tidyverse.
My goal is to go through the entire book chapter by chapter, and as I’m a big baseball nerd, create small projects with baseball data for each algorithm.
Post 1: k-Nearest Neighbors
kNN Project: Predicting which MiLB hitters from A+ in 2013 made it to MLB- Predicting binary outcome of making MLB with predictors Age, K%, BB% and ISO.
- k hyperparameter tuning, cross validation, confusion matricies, model predictions
- Post includes full code, output and commentary