fall semester 2020
I trained a model to identify letters that are often seen in counter robot measures. I tried three models: SVC, Random forest with 100 trees and KNN with neighbours ranging from 1 to 8. Model that proved most accurate in validation and training turned out to be SVC.
find out more about code itself and stuff from github.