The goal of this report is: * predicting a transformation of the player Position variable, * predicting player's market Value using the fifa_exam.RDS dataset by using predictive machine learning modeling in R with "tidymodels" package.
It can be seen that in the raw data set we don't have the Overall variable, so it makes it more complicated to only implement random models. As always, we prepare the data set as much as possible in order to get the best models based on our goals.
Applied Classification models, KNN, Decision Tree, Random Forest and Linear Modelling